Multi–Symptom Measurement Based Fault Detection of the PEM Fuel Cell System
The proper functioning of the fuel cell system depends on the proper operation of all its subsystems. One of the key subsystems is the oxidant supply system, which is responsible for supplying oxygen for the electrochemical reaction taking place in the cell. It also transports the reaction products,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Sciendo
2023-06-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.34768/amcs-2023-0015 |
| _version_ | 1797794955355226112 |
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| author | Polak Adam Kluczyk Marcin |
| author_facet | Polak Adam Kluczyk Marcin |
| author_sort | Polak Adam |
| collection | DOAJ |
| description | The proper functioning of the fuel cell system depends on the proper operation of all its subsystems. One of the key subsystems is the oxidant supply system, which is responsible for supplying oxygen for the electrochemical reaction taking place in the cell. It also transports the reaction products, i.e., water, outside the fuel cell stack, and in some cases removes excess heat generated in the stack. Changes in the technical condition of machine individual elements always result in changes in operating or residual parameters; however, it is necessary to select appropriate diagnostic methods to be able to use these changes to assess the machine’s technical condition. This article presents the results of research focused on assessing the possibilities of diagnosing the oxidant supply subsystem, in particular, too low an oxidant flow leading to oxygen starvation and cathode flooding, based on the analysis of the voltage occurring in individual cells of the stack as well as on the basis of vibration and acoustic emission (AE) measurements. The presented results show that the faulty operation of that system can be indicated either through electrical and vibroacoustic/acoustic emission measurements. |
| first_indexed | 2024-03-13T03:10:32Z |
| format | Article |
| id | doaj.art-16b17a0a36cc4c55b3172e753a4bb09c |
| institution | Directory Open Access Journal |
| issn | 2083-8492 |
| language | English |
| last_indexed | 2024-03-13T03:10:32Z |
| publishDate | 2023-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | International Journal of Applied Mathematics and Computer Science |
| spelling | doaj.art-16b17a0a36cc4c55b3172e753a4bb09c2023-06-26T10:48:36ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922023-06-0133219720510.34768/amcs-2023-0015Multi–Symptom Measurement Based Fault Detection of the PEM Fuel Cell SystemPolak Adam0Kluczyk Marcin11Faculty of Mechanical and Electrical Engineering Polish Naval Academyul.Śmidowicza 69, 81-127Gdynia, Poland1Faculty of Mechanical and Electrical Engineering Polish Naval Academyul.Śmidowicza 69, 81-127Gdynia, PolandThe proper functioning of the fuel cell system depends on the proper operation of all its subsystems. One of the key subsystems is the oxidant supply system, which is responsible for supplying oxygen for the electrochemical reaction taking place in the cell. It also transports the reaction products, i.e., water, outside the fuel cell stack, and in some cases removes excess heat generated in the stack. Changes in the technical condition of machine individual elements always result in changes in operating or residual parameters; however, it is necessary to select appropriate diagnostic methods to be able to use these changes to assess the machine’s technical condition. This article presents the results of research focused on assessing the possibilities of diagnosing the oxidant supply subsystem, in particular, too low an oxidant flow leading to oxygen starvation and cathode flooding, based on the analysis of the voltage occurring in individual cells of the stack as well as on the basis of vibration and acoustic emission (AE) measurements. The presented results show that the faulty operation of that system can be indicated either through electrical and vibroacoustic/acoustic emission measurements.https://doi.org/10.34768/amcs-2023-0015pem fuel cellsfailure detectionoxygen starvationcell floodingacoustic emissionvibrations |
| spellingShingle | Polak Adam Kluczyk Marcin Multi–Symptom Measurement Based Fault Detection of the PEM Fuel Cell System International Journal of Applied Mathematics and Computer Science pem fuel cells failure detection oxygen starvation cell flooding acoustic emission vibrations |
| title | Multi–Symptom Measurement Based Fault Detection of the PEM Fuel Cell System |
| title_full | Multi–Symptom Measurement Based Fault Detection of the PEM Fuel Cell System |
| title_fullStr | Multi–Symptom Measurement Based Fault Detection of the PEM Fuel Cell System |
| title_full_unstemmed | Multi–Symptom Measurement Based Fault Detection of the PEM Fuel Cell System |
| title_short | Multi–Symptom Measurement Based Fault Detection of the PEM Fuel Cell System |
| title_sort | multi symptom measurement based fault detection of the pem fuel cell system |
| topic | pem fuel cells failure detection oxygen starvation cell flooding acoustic emission vibrations |
| url | https://doi.org/10.34768/amcs-2023-0015 |
| work_keys_str_mv | AT polakadam multisymptommeasurementbasedfaultdetectionofthepemfuelcellsystem AT kluczykmarcin multisymptommeasurementbasedfaultdetectionofthepemfuelcellsystem |