A Robust Neural Network Algorithm For Automotive Air Conditioning Fault Detection
Accurate and incipient fault detection of air conditioning systems is highly demanded in a car to prevent energy waste and high maintenance cost. However, most fault detection techniques require experiences of drivers which are usually unavailable. In this study, a novel hybrid method is proposed to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Society of Automotive Engineers of Japan, Inc.
2020-01-01
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| Series: | International Journal of Automotive Engineering |
| Online Access: | https://www.jstage.jst.go.jp/article/jsaeijae/11/1/11_20204128/_article/-char/ja |
| _version_ | 1827383024461807616 |
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| author | Dinh Anh Tuan Tran Huong Nguyen Thi Cam Quoc Minh Phan |
| author_facet | Dinh Anh Tuan Tran Huong Nguyen Thi Cam Quoc Minh Phan |
| author_sort | Dinh Anh Tuan Tran |
| collection | DOAJ |
| description | Accurate and incipient fault detection of air conditioning systems is highly demanded in a car to prevent energy waste and high maintenance cost. However, most fault detection techniques require experiences of drivers which are usually unavailable. In this study, a novel hybrid method is proposed to detect faults for AC systems in car. Two typical faults in AC system are adopted to investigate. An AC fault detection and diagnosis framework is introduced by combining the RBFNN model and the EWMA. The results show that the proposing algorithm detects typical air conditioning faults in a car with high accuracy. |
| first_indexed | 2024-03-08T14:31:44Z |
| format | Article |
| id | doaj.art-14ca6c9146284ec7a9b4b1c847377de0 |
| institution | Directory Open Access Journal |
| issn | 2185-0992 |
| language | English |
| last_indexed | 2024-03-08T14:31:44Z |
| publishDate | 2020-01-01 |
| publisher | Society of Automotive Engineers of Japan, Inc. |
| record_format | Article |
| series | International Journal of Automotive Engineering |
| spelling | doaj.art-14ca6c9146284ec7a9b4b1c847377de02024-01-12T08:18:41ZengSociety of Automotive Engineers of Japan, Inc.International Journal of Automotive Engineering2185-09922020-01-0111191310.20485/jsaeijae.11.1_9A Robust Neural Network Algorithm For Automotive Air Conditioning Fault DetectionDinh Anh Tuan Tran0Huong Nguyen Thi Cam1Quoc Minh Phan2Faculty of Heat & Refrigeration EngineeringFPT UniversityFaculty of Heat & Refrigeration EngineeringAccurate and incipient fault detection of air conditioning systems is highly demanded in a car to prevent energy waste and high maintenance cost. However, most fault detection techniques require experiences of drivers which are usually unavailable. In this study, a novel hybrid method is proposed to detect faults for AC systems in car. Two typical faults in AC system are adopted to investigate. An AC fault detection and diagnosis framework is introduced by combining the RBFNN model and the EWMA. The results show that the proposing algorithm detects typical air conditioning faults in a car with high accuracy.https://www.jstage.jst.go.jp/article/jsaeijae/11/1/11_20204128/_article/-char/ja |
| spellingShingle | Dinh Anh Tuan Tran Huong Nguyen Thi Cam Quoc Minh Phan A Robust Neural Network Algorithm For Automotive Air Conditioning Fault Detection International Journal of Automotive Engineering |
| title | A Robust Neural Network Algorithm For Automotive Air Conditioning Fault Detection |
| title_full | A Robust Neural Network Algorithm For Automotive Air Conditioning Fault Detection |
| title_fullStr | A Robust Neural Network Algorithm For Automotive Air Conditioning Fault Detection |
| title_full_unstemmed | A Robust Neural Network Algorithm For Automotive Air Conditioning Fault Detection |
| title_short | A Robust Neural Network Algorithm For Automotive Air Conditioning Fault Detection |
| title_sort | robust neural network algorithm for automotive air conditioning fault detection |
| url | https://www.jstage.jst.go.jp/article/jsaeijae/11/1/11_20204128/_article/-char/ja |
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