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Publications (10 of 18) Show all publications
Leturiondo, U., Salgado, O., Ciani, L., Galar, D. & Catelani, M. (2017). Architecture for hybrid modelling and its application to diagnosis and prognosis with missing data. Measurement, 108, 152-162
Open this publication in new window or tab >>Architecture for hybrid modelling and its application to diagnosis and prognosis with missing data
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2017 (English)In: Measurement, ISSN 0263-2241, E-ISSN 1873-412X, Vol. 108, p. 152-162Article in journal (Refereed) Published
Abstract [en]

The advances in technology involving internet of things, cloud computing and big data mean a new perspective in the calculation of reliability, maintainability, availability and safety by combining physics-based modelling with data-driven modelling. This paper proposes an architecture to implement hybrid modelling based on the fusion of real data and synthetic data obtained in simulations using a physics-based model. This architecture has two levels of analysis: an online process carried out locally and virtual commissioning performed in the cloud. The former results in failure detection analysis to avoid upcoming failures whereas the latter leads to both diagnosis and prognosis. The proposed hybrid modelling architecture is validated in the field of rotating machinery using time-domain and frequency-domain analysis. A multi-body model and a semi-supervised learning algorithm are used to perform the hybrid modelling. The state of a rolling element bearing is analysed and accurate results for fault detection, localisation and quantification are obtained. The contextual information increases the accuracy of the results; the results obtained by the model can help improve maintenance decision making and production scheduling. Future work includes a prescriptive analysis approach.

Place, publisher, year, edition, pages
Elsevier, 2017
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-61838 (URN)10.1016/j.measurement.2017.02.003 (DOI)000404201400016 ()2-s2.0-85012901785 (Scopus ID)
Note

Validerad;2017;Nivå 2;2017-06-07 (rokbeg)

Available from: 2017-02-06 Created: 2017-02-06 Last updated: 2018-07-10Bibliographically approved
Villarejo, R., Johansson, C.-a., Urko, L., Simon, V., Seneviratne, D. & Galar, D. (2017). Bottom to Top Approach for Railway KPI Generation. Management Systems in Production Engineering, 25(3), 191-198, Article ID 28.
Open this publication in new window or tab >>Bottom to Top Approach for Railway KPI Generation
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2017 (English)In: Management Systems in Production Engineering, ISSN 2299-0461, Vol. 25, no 3, p. 191-198, article id 28Article in journal (Refereed) Published
Abstract [en]

Railway maintenance especially on infrastructure produces a vast amount of data. However, having data is not synonymous with having information; rather, data must be processed to extract information. In railway maintenance, the development of key performance indicators (KPIs) linked to punctuality or capacity can help planned and scheduled maintenance, thus aligning the maintenance department with corporate objectives. There is a need for an improved method to analyse railway data to find the relevant KPIs. The system should support maintainers, answering such questions as what maintenance should be done, where and when. The system should equip the user with the knowledge of the infrastructure's condition and configuration, and the traffic situation so maintenance resources can be targeted to only those areas needing work. The amount of information is vast, so it must be hierarchized and aggregated; users must filter out the useless indicators. Data are fused by compiling several individual indicators into a single index; the resulting composite indicators measure multidimensional concepts which cannot be captured by a single index. The paper describes a method of monitoring a complex entity. In this scenario, a plurality of use indices and weighting values are used to create a composite and aggregated use index from a combination of lower level use indices and weighting values. The resulting composite and aggregated indicators can be a decision-making tool for asset managers at different hierarchical levels.

Place, publisher, year, edition, pages
WARSAW, POLAND: De Gruyter Open, 2017
Keywords
railway assets, fusion, hierarchy, aggregation, KPI, performance, condition monitoring, CMMS
National Category
Other Engineering and Technologies Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-65609 (URN)10.1515/mspe-2017-0028 (DOI)000408931800008 ()
Note

Validerad;2017;Nivå 2;2017-10-03 (rokbeg)

Available from: 2017-09-12 Created: 2017-09-12 Last updated: 2017-11-24Bibliographically approved
Leturiondo, U., Salgado, O. & Galar, D. (2017). Methodology for the physics-based modelling of multiple rolling element bearing configurations (ed.). Proceedings of the Institution of mechanical engineers. Proceedings part K, journal of multi-body dynamics, 231(1), 194-212
Open this publication in new window or tab >>Methodology for the physics-based modelling of multiple rolling element bearing configurations
2017 (English)In: Proceedings of the Institution of mechanical engineers. Proceedings part K, journal of multi-body dynamics, ISSN 1464-4193, E-ISSN 2041-3068, Vol. 231, no 1, p. 194-212Article in journal (Refereed) Published
Abstract [en]

Condition-based maintenance is a maintenance strategy which can be employed for monitoring the condition of rolling element bearings (REBs). For that purpose, the physics-based modelling of these machine elements is an interesting approach. There is a wide range of REBs regarding their internal configuration, dimensions and operating conditions. In this paper, a methodology to create a physics-based mathematical model to reproduce the dynamics of multiple kinds of REB is presented. Following a multi-body modelling, the proposed methodology takes advantage of the reusability of models to cover a wide range of bearing configurations, as well as to generalise the dimensioning of the bearing and the application of the operating conditions. The methodology is proved to be valid by its application to two case studies. Simulations of a deep-groove ball bearing and a cylindrical roller bearing are carried out, analysing their dynamic response as well as analysing the effects of damage in their parts. Results of the two case studies show good agreement with experimental data and results of other models in literature.

Place, publisher, year, edition, pages
Sage Publications, 2017
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-2576 (URN)10.1177/1464419316660930 (DOI)000397494000014 ()2-s2.0-85018701880 (Scopus ID)0356284f-3562-4805-8311-8464ee10562a (Local ID)0356284f-3562-4805-8311-8464ee10562a (Archive number)0356284f-3562-4805-8311-8464ee10562a (OAI)
Note

Validerad; 2017; Nivå 2; 2017-03-20 (rokbeg)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-11-15Bibliographically approved
Leturiondo, U., Salgado, O. & Galar, D. (2017). Validation of a physics-based model of a rotating machine for synthetic data generation in hybrid diagnosis. Structural Health Monitoring, 16(4), 458-470
Open this publication in new window or tab >>Validation of a physics-based model of a rotating machine for synthetic data generation in hybrid diagnosis
2017 (English)In: Structural Health Monitoring, ISSN 1475-9217, E-ISSN 1741-3168, Vol. 16, no 4, p. 458-470Article in journal (Refereed) Published
Abstract [en]

Diagnosis and prognosis are key issues in the application of condition based maintenance. Thus, there is a need to evaluate the condition of a machine. Physics-based models are of great interest as they give the response of a modelled system in different operating conditions. This strategy allows for the generation of synthetic data that can be used in combination with real data acquired by sensors to improve maintenance. The article presents an electromechanical model for a rotating machine, with special emphasis on the modelling of rolling element bearings. The proposed model is validated by comparing the simulation results and the experimental results in different operating conditions and different damaged states. This comparison shows good agreement, obtaining differences of up to 10% for the modelling of the whole rotating machine and less than 0.6% for the model of the bearing.

Place, publisher, year, edition, pages
Sage Publications, 2017
Keywords
condition based maintenance, diagnosis, physics-based modelling, rotating machine, rolling element bearing, experimental validation, vibration, damage
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-59537 (URN)10.1177/1475921716676053 (DOI)000404649500007 ()2-s2.0-85023647346 (Scopus ID)
Note

Validerad;2017;Nivå 2;2017-08-11 (rokbeg)

Available from: 2016-10-06 Created: 2016-10-06 Last updated: 2018-07-10Bibliographically approved
Leturiondo, U., Salgado, O. & Galar, D. (2016). Estimation of the Reliability of Rolling Element Bearings Using a Synthetic Failure Rate (1ed.). In: (Ed.), Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde (Ed.), Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective (pp. 99-112). Paper presented at . : Springer International Publishing
Open this publication in new window or tab >>Estimation of the Reliability of Rolling Element Bearings Using a Synthetic Failure Rate
2016 (English)In: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective, Springer International Publishing , 2016, 1, p. 99-112Chapter in book (Refereed)
Abstract [en]

As rolling element bearings are key parts of rotating machinery, the estimation of their reliability is very important. In this context, different standards and research articles propose how to estimate fatigue life for different levels of reliability. However, when trying to do calculations based on data from a real system, there are many difficulties because of economic and safety reasons. Consequently, the use of physical models to simulate the cases that are difficult to reproduce in a real system allows us to generate synthetic data related to them. Thus, in this paper a synthetic failure rate of rolling element bearings is calculated using a physical modelling approach. A multi-body model of a bearing is used in order to obtain its dynamic response in non-stationary conditions and in different degradation levels. Thus, synthetic data are generated to cover a range of degradation related to geometric changes in the surface of the parts of the bearing. Some of the output variables of these synthetic data, such as vibration, are used as covariates of a proportional hazard model, which is then trained to estimate the reliability of the bearing. In this way, a synthetic failure rate is obtained in such a way that it can improve the failure rate given by the manufacturers.

Place, publisher, year, edition, pages
Springer International Publishing, 2016 Edition: 1
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-21006 (URN)10.1007/978-3-319-23597-4_8 (DOI)a35c04d3-f4cb-4777-b585-5ed89dd7ed8c (Local ID)978-3-319-23596-7 (ISBN)978-3-319-23597-4 (ISBN)a35c04d3-f4cb-4777-b585-5ed89dd7ed8c (Archive number)a35c04d3-f4cb-4777-b585-5ed89dd7ed8c (OAI)
Note
Godkänd; 2016; Bibliografisk uppgift: Containing selected papers from the ICRESH-ARMS 2015 conference in Lulea, Sweden, collected by editors with years of experiences in Reliability and maintenance modeling, risk assessment, and asset management, this work maximizes reader insights into the current trends in Reliability, Availability, Maintainability and Safety (RAMS) and Risk Management. Featuring a comprehensive analysis of the significance of the role of RAMS and Risk Management in the decision making process during the various phases of design, operation, maintenance, asset management and productivity in Industrial domains, these proceedings discuss key issues and challenges in the operation, maintenance and risk management of complex engineering systems and will serve as a valuable resource for those in the field. ; 20151218 (urklet)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Leturiondo, U. (2016). Hybrid modelling in condition monitoring. (Doctoral dissertation). Luleå: Luleå University of Technology
Open this publication in new window or tab >>Hybrid modelling in condition monitoring
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Hybridmodellering inom tillståndsövervakning
Abstract [en]

Assuring the reliability, availability, maintainability and safety of assets is key to business success. A logical first step is to consider the requirements of assets in the design process. However, these concepts must also be assured during the assets’ operation. Consequently, it is important to have knowledge of their actual condition.

The condition monitoring of assets and their subsequent maintenance are changing with the rapid evolution of electronics and information and communication technologies. The contribution of such technologies to the monitoring of cyber-physical systems in the context of Industry 4.0 is important.

In the era of big data, the ease of getting, storing and processing data is crucial. However, the trend towards big data is not as effective in the field of condition monitoring as in others. One of the challenges of today’s condition monitoring is the lack of data on those assets not allowed to operate beyond their pre-established maintenance limit. Datasets miss advanced degradation states of assets and fail to predict rarely occurring outliers, but both have a great impact on operation; in other words, data-driven methods are limited and cannot accurately tackle scenarios outside the training dataset.

This thesis proposes augmenting such datasets with the addition of synthetic data generated by physics-based models describing the dynamic behaviour of assets. It argues a combination of physics-based and data-driven modelling, known as hybrid modelling, can overcome the aforementioned limitations. It proposes an architecture for hybrid modelling, based on data fusion and context awareness and oriented to diagnosis and prognosis.

The thesis applies some of the key parts of this architecture to rotating machinery, developing a physics-based model for a rotating machine from an electromechanical point of view and following a multi-body approach. It verifies and validates the model following guidelines suggested in the literature and using experimental data acquired in predefined tests with a commercial test rig.

The developed physics-based model is used to generate synthetic data in different degradation states, and these data are fused with condition monitoring data acquired from the test rig. A data-driven approach is used to train an algorithm with the resulting fused data, adapting the clusters obtained by an algorithm to the context in which the machine is operating. The hybrid model is applied specifically for fault detection, localisation and quantification. The use of context data is found to enhance the results and is the key to providing context-driven services in the future.

In short, the model is ready to react to faults that have not occurred in reality, with a severity that has not been reached in a specific operating context but has been introduced in the physics-based modelling.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2016
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-59652 (URN)978-91-7583-721-5 (ISBN)978-91-7583-722-2 (ISBN)
Public defence
2016-12-19, F1031, Luleå University of Technology, 971 82, Luleå, 10:00 (English)
Opponent
Supervisors
Available from: 2016-10-12 Created: 2016-10-11 Last updated: 2017-11-24Bibliographically approved
Leturiondo, U., Galar, D. & Salgado, O. (2016). Hybrid modelling in condition-based maintenance for smart assets (ed.). In: (Ed.), : . Paper presented at eMaintenance 2016 : 15/06/2016 - 16/06/2016.
Open this publication in new window or tab >>Hybrid modelling in condition-based maintenance for smart assets
2016 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

When it comes to take proper maintenance decisions regarding reliability and safety of a system, there is a need to perform a right health assessment. Thus, acquiring signals from the system in healthy and damaged conditions gives the chance to analyse the effect of the state of the system on its response. However, it is usually hard to perform diagnosis and prognosis using only tests from the real system. The advances in technologies involving internet of things, cloud computing and big data lead to a situation in which this analysis of acquired data can be complemented by the use physics-based modelling. Thus, a combination of both data-driven and physics-based approaches can be implemented thanks to the aforementioned progress. In this paper an architecture to implement hybrid modelling is proposed, based on data fusion between real data and synthetic data obtained by simulations of a physics-based model. This architecture has two analysis levels: an online process carried out in a local basis and virtual commissioning performed in the cloud. The former results in failure detection analysis for avoiding upcoming failures whereas the latter has as aim a further analysis involving both diagnosis and prognosis.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-30835 (URN)4cfd1af1-08be-43e2-b015-ec926333fb3e (Local ID)4cfd1af1-08be-43e2-b015-ec926333fb3e (Archive number)4cfd1af1-08be-43e2-b015-ec926333fb3e (OAI)
Conference
eMaintenance 2016 : 15/06/2016 - 16/06/2016
Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Leturiondo, U., Salgado, O., Galar, D. & Mishra, M. (2016). Methodology for the Estimation of the Fatigue Life of Rolling Element Bearings in Non-stationary Conditions (ed.). In: (Ed.), Fakher Chaari; Radozlaw Zimroz; Walter Bertelmus; Mahamed Haddar (Ed.), Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2014, Lyon, France December 15-17. Paper presented at International Conference on Condition Monitoring of Machinery in Non-Stationary Operations : 15/12/2014 - 16/12/2014 (pp. 413-423). Cham: Encyclopedia of Global Archaeology/Springer Verlag, 4
Open this publication in new window or tab >>Methodology for the Estimation of the Fatigue Life of Rolling Element Bearings in Non-stationary Conditions
2016 (English)In: Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2014, Lyon, France December 15-17 / [ed] Fakher Chaari; Radozlaw Zimroz; Walter Bertelmus; Mahamed Haddar, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2016, Vol. 4, p. 413-423Conference paper, Published paper (Refereed)
Abstract [en]

The estimation of the life of rolling element bearings (REBs) is crucial to determine when maintenance is required. This paper presents a methodology to calculate the fatigue life of REBs considering non-stationary conditions. Instead of taking a constant value, the paper considers cyclic loading and unloading processes, as well as increasing and decreasing values of the speed of rotation. It employs a model-based approach to calculate contact loads between the different elements of the bearing, with a finite element model (FEM) used to calculate the contact stresses. Using this information, it then performs a fatigue analysis to study overloading in faulty bearings.

Place, publisher, year, edition, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2016
Series
Applied Condition Monitoring, ISSN 2363-698X ; 4
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-30737 (URN)10.1007/978-3-319-20463-5_31 (DOI)000375989600031 ()4a68e13b-a120-46b6-b0a5-6ff312c76c7d (Local ID)978-3-319-20462-8 (ISBN)978-3-319-20463-5 (ISBN)4a68e13b-a120-46b6-b0a5-6ff312c76c7d (Archive number)4a68e13b-a120-46b6-b0a5-6ff312c76c7d (OAI)
Conference
International Conference on Condition Monitoring of Machinery in Non-Stationary Operations : 15/12/2014 - 16/12/2014
Note
Validerad; 2016; Nivå 1; 20150722 (urklet)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Leturiondo, U., Salgado, O. & Galar, D. (2016). Multi-body modelling of rolling element bearings and performance evaluation with localised damage. Eksploatacja i Niezawodnosc - Maintenance and Reliability, 18(4), 638-648
Open this publication in new window or tab >>Multi-body modelling of rolling element bearings and performance evaluation with localised damage
2016 (English)In: Eksploatacja i Niezawodnosc - Maintenance and Reliability, ISSN 1507-2711, Vol. 18, no 4, p. 638-648Article in journal (Refereed) Published
Abstract [en]

Condition-based maintenance is an extended maintenance approach for many systems, including rolling element bearings. Forthat purpose, the physics-based modelling of these machine elements is an interesting method. The use of rolling element bearingsis extended to many fields, what implies a variety of the configurations that they can take regarding the kind of rolling elements,the internal configuration and the number of rows. Moreover, the differences of the applications make rolling element bearingsto take different sizes and to be operating at different conditions regarding both speed and loads. In this work, a methodology tocreate a physics-based mathematical model to reproduce the dynamics of multiple kinds of rolling element bearings is presented.Following a multi-body modelling, the proposed strategy takes advantage of the reusability of models to cover a wide range ofbearing configurations, as well as to generalise the dimensioning of the bearing and the application of the operating conditions.Simulations of two bearing configurations are presented in this paper, analysing their dynamic response as well as analysing theeffects of damage in their parts. Results of the two case studies show good agreement with experimental data and results of othermodels in literature.

Abstract [pl]

Utrzymanie ruchu zależne od stanu technicznego urządzenia to rozszerzone podejście do eksploatacji mające zastosowanie dowielu układów, w tym łożysk tocznych. Ciekawą metodą modelowania tych elementów jest modelowanie oparte na fizyce. Łożyskatoczne wykorzystywane są szeroko w wielu dziedzinach, co oznacza, że elementy toczne mogą występować w wielorakichkonfiguracjach różniących się rodzajem elementów tocznych, ich wewnętrznym układem oraz liczbą rzędów. Co więcej, różnicedotyczące zastosowań sprawiają, że łożyska toczne mogą przybierać różne rozmiary i działać w różnych warunkach prędkości iobciążeń. W niniejszej pracy zaprezentowano metodologię tworzenia modelu matematycznego opartego na fizyce służącego doodtwarzania dynamiki wielu rodzajów łożysk tocznych. Zgodnie z zasadami modelowania układów wieloczłonowych, proponowanastrategia wykorzystuje możliwość ponownego użycia modeli do zamodelowania szerokiego zakresu konfiguracji łożysk, atakże uogólnienia wymiarowania łożyska oraz ujęcia warunków jego pracy. W opracowaniu przedstawiono symulacje dwóchkonfiguracji elementów tocznych wraz z analizą ich dynamicznej odpowiedzi oraz analizą skutków uszkodzenia ich części. Wynikidwóch przedstawionych w pracy studiów przypadków wykazują dobrą zgodność z danymi doświadczalnymi oraz wynikami innychmodeli opisanymi w literaturze.

Keywords
rolling element bearing, physics-based modelling, multi-body, dynamics, bearing configuration, damage, łożyska toczne, modelowanie oparte na fizyce, układy wieloczłonowe, dynamika, konfiguracja łożysk, uszkodzenia
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-36840 (URN)10.17531/ein.2016.4.20 (DOI)000384513700020 ()2-s2.0-84988457134 (Scopus ID)
Note

Validerad; 2016; Nivå 2; 2016-10-28 (andbra)

Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-07-10Bibliographically approved
Leturiondo, U., Salgado, O. & Galar, D. (2016). Test rig model development and validation for the diagnosis of rolling element bearings (ed.). In: (Ed.), 14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety, Milan, Italy, 27-28 June 2016. Paper presented at 14th IMEKO TC10 Workshop on Technical Diagnostics : New Perspectives in Measurements, Tools and Techniques for system’s reliability, maintainability and safety, Milan, Italy, 27-28 June 2016 (pp. 46-49).
Open this publication in new window or tab >>Test rig model development and validation for the diagnosis of rolling element bearings
2016 (English)In: 14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety, Milan, Italy, 27-28 June 2016, 2016, p. 46-49Conference paper, Published paper (Refereed)
Abstract [en]

In the context of condition based maintenance, carrying out diagnosis and prognosis processes is a key. For that purpose the evaluation of the condition of a machine is necessary, for which the development of physical models is useful as the response of the modelled system can be obtained in different operating conditions. In this paper, an electromechanical model for a rotary machine is presented, making special emphasis on the modelling of rolling element bearings. Thus, the response to different damaged conditions is evaluated. The proposed model is validated by comparing the simulation results with experimental signals acquired by tests carried out at different operating conditions. This comparison shows a good agreement as differences less than 0.6 % for the model of the bearing and differences up to the 10 % for the modelling of the rest of the elements are obtained.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-35607 (URN)2-s2.0-84985912268 (Scopus ID)a32fa39b-24d0-4b73-bf9f-ccb11cdeddcf (Local ID)a32fa39b-24d0-4b73-bf9f-ccb11cdeddcf (Archive number)a32fa39b-24d0-4b73-bf9f-ccb11cdeddcf (OAI)
Conference
14th IMEKO TC10 Workshop on Technical Diagnostics : New Perspectives in Measurements, Tools and Techniques for system’s reliability, maintainability and safety, Milan, Italy, 27-28 June 2016
Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-4913-6438

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