Experimental Validation of Model-Based Prognostics for Pneumatic Valves
Because valves control many critical operations, they are prime candidates for deployment of prognostic algorithms. But, similar to the situation with most other components, examples of failures experienced in the field are hard to come by. This lack of data impacts the ability to test and validate...
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| Format: | Article |
| Language: | English |
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The Prognostics and Health Management Society
2017-01-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | https://papers.phmsociety.org/index.php/ijphm/article/view/2590 |
| _version_ | 1819126907782823936 |
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| author | Chetan S. Kulkarni Matthew J. Daigle George Gorospe Kai Goebel |
| author_facet | Chetan S. Kulkarni Matthew J. Daigle George Gorospe Kai Goebel |
| author_sort | Chetan S. Kulkarni |
| collection | DOAJ |
| description | Because valves control many critical operations, they are prime candidates for deployment of prognostic algorithms. But, similar to the situation with most other components, examples of failures experienced in the field are hard to come by. This lack of data impacts the ability to test and validate prognostic algorithms. A solution sometimes employed to overcome this shortcoming is to perform run-to-failure experiments in a lab. However, the mean time to failure of valves is typically very high (possibly lasting decades), preventing evaluation within a reasonable time frame. Therefore, a mechanism to observe development of fault signatures considerably faster is sought. Described here is a testbed that addresses these issues by allowing the physical injection of leakage faults (which are the most common fault mode) into pneumatic valves. What makes this testbed stand out is the ability to modulate the magnitude of the fault almost arbitrarily fast. With that, the performance of end-of-life estimation algorithms can be tested. Further, the testbed is mobile and can be connected to valves in the field. This mobility helps to bring the overall process of prognostic algorithm development for this valve a step closer to validation. The paper illustrates the development of a model-based prognostic approach that uses data from the testbed for partial validation. |
| first_indexed | 2024-12-22T08:03:30Z |
| format | Article |
| id | doaj.art-7cbb8faba79441c5ae6c52beab140301 |
| institution | Directory Open Access Journal |
| issn | 2153-2648 2153-2648 |
| language | English |
| last_indexed | 2024-12-22T08:03:30Z |
| publishDate | 2017-01-01 |
| publisher | The Prognostics and Health Management Society |
| record_format | Article |
| series | International Journal of Prognostics and Health Management |
| spelling | doaj.art-7cbb8faba79441c5ae6c52beab1403012022-12-21T18:33:12ZengThe Prognostics and Health Management SocietyInternational Journal of Prognostics and Health Management2153-26482153-26482017-01-0181doi:10.36001/ijphm.2017.v8i1.2590Experimental Validation of Model-Based Prognostics for Pneumatic ValvesChetan S. Kulkarni0Matthew J. Daigle1George Gorospe2Kai Goebel3SGT, Inc., NASA Ames Research Center, Moffett Field, CA, 94035, USANASA Ames Research Center, Moffett Field, CA, 94035, USASGT, Inc., NASA Ames Research Center, Moffett Field, CA, 94035, USANASA Ames Research Center, Moffett Field, CA, 94035, USABecause valves control many critical operations, they are prime candidates for deployment of prognostic algorithms. But, similar to the situation with most other components, examples of failures experienced in the field are hard to come by. This lack of data impacts the ability to test and validate prognostic algorithms. A solution sometimes employed to overcome this shortcoming is to perform run-to-failure experiments in a lab. However, the mean time to failure of valves is typically very high (possibly lasting decades), preventing evaluation within a reasonable time frame. Therefore, a mechanism to observe development of fault signatures considerably faster is sought. Described here is a testbed that addresses these issues by allowing the physical injection of leakage faults (which are the most common fault mode) into pneumatic valves. What makes this testbed stand out is the ability to modulate the magnitude of the fault almost arbitrarily fast. With that, the performance of end-of-life estimation algorithms can be tested. Further, the testbed is mobile and can be connected to valves in the field. This mobility helps to bring the overall process of prognostic algorithm development for this valve a step closer to validation. The paper illustrates the development of a model-based prognostic approach that uses data from the testbed for partial validation.https://papers.phmsociety.org/index.php/ijphm/article/view/2590prognosticspneumatic valvesremaining useful lifedegradation modeling |
| spellingShingle | Chetan S. Kulkarni Matthew J. Daigle George Gorospe Kai Goebel Experimental Validation of Model-Based Prognostics for Pneumatic Valves International Journal of Prognostics and Health Management prognostics pneumatic valves remaining useful life degradation modeling |
| title | Experimental Validation of Model-Based Prognostics for Pneumatic Valves |
| title_full | Experimental Validation of Model-Based Prognostics for Pneumatic Valves |
| title_fullStr | Experimental Validation of Model-Based Prognostics for Pneumatic Valves |
| title_full_unstemmed | Experimental Validation of Model-Based Prognostics for Pneumatic Valves |
| title_short | Experimental Validation of Model-Based Prognostics for Pneumatic Valves |
| title_sort | experimental validation of model based prognostics for pneumatic valves |
| topic | prognostics pneumatic valves remaining useful life degradation modeling |
| url | https://papers.phmsociety.org/index.php/ijphm/article/view/2590 |
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