Fault-Structure-Based Active Fault Diagnosis: A Geometric Observer Approach
Fault diagnosis techniques can be classified into passive and active types. Passive approaches only utilize the original input and output signals of the system. Because of the small amplitudes, the characteristics of incipient faults are not fully represented in the data of the system, so it is diff...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/17/4475 |
| _version_ | 1797555040017186816 |
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| author | Zhao Zhang Xiao He |
| author_facet | Zhao Zhang Xiao He |
| author_sort | Zhao Zhang |
| collection | DOAJ |
| description | Fault diagnosis techniques can be classified into passive and active types. Passive approaches only utilize the original input and output signals of the system. Because of the small amplitudes, the characteristics of incipient faults are not fully represented in the data of the system, so it is difficult to detect incipient faults by passive fault diagnosis techniques. In contrast, active methods can design auxiliary signals for specific faults and inject them into the system to improve fault diagnosis performance. Therefore, active fault diagnosis techniques are utilized in this article to detect and isolate incipient faults based on the fault structure. A new framework based on observer approach for active fault diagnosis is proposed and the geometric approach based fault diagnosis observer is introduced to active fault diagnosis for the first time. Based on the dynamic equations of residuals, auxiliary signals are designed to enhance the diagnosis performance for incipient faults that have specific structures. In addition, the requirements that auxiliary signals need to meet are discussed. The proposed method can realize the seamless combination of active fault diagnosis and passive fault diagnosis. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed approach, and it is indicated that the proposed method significantly improves the accuracy of the diagnosis for incipient faults. |
| first_indexed | 2024-03-10T16:41:45Z |
| format | Article |
| id | doaj.art-412bb6ac54d54b74a8974d86011af6ea |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T16:41:45Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-412bb6ac54d54b74a8974d86011af6ea2023-11-20T11:58:16ZengMDPI AGEnergies1996-10732020-08-011317447510.3390/en13174475Fault-Structure-Based Active Fault Diagnosis: A Geometric Observer ApproachZhao Zhang0Xiao He1Department of Automation, Tsinghua University, Beijing 100084, ChinaDepartment of Automation, Tsinghua University, Beijing 100084, ChinaFault diagnosis techniques can be classified into passive and active types. Passive approaches only utilize the original input and output signals of the system. Because of the small amplitudes, the characteristics of incipient faults are not fully represented in the data of the system, so it is difficult to detect incipient faults by passive fault diagnosis techniques. In contrast, active methods can design auxiliary signals for specific faults and inject them into the system to improve fault diagnosis performance. Therefore, active fault diagnosis techniques are utilized in this article to detect and isolate incipient faults based on the fault structure. A new framework based on observer approach for active fault diagnosis is proposed and the geometric approach based fault diagnosis observer is introduced to active fault diagnosis for the first time. Based on the dynamic equations of residuals, auxiliary signals are designed to enhance the diagnosis performance for incipient faults that have specific structures. In addition, the requirements that auxiliary signals need to meet are discussed. The proposed method can realize the seamless combination of active fault diagnosis and passive fault diagnosis. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed approach, and it is indicated that the proposed method significantly improves the accuracy of the diagnosis for incipient faults.https://www.mdpi.com/1996-1073/13/17/4475active fault diagnosisgeometric approachauxiliary inputfault structureincipient faults |
| spellingShingle | Zhao Zhang Xiao He Fault-Structure-Based Active Fault Diagnosis: A Geometric Observer Approach Energies active fault diagnosis geometric approach auxiliary input fault structure incipient faults |
| title | Fault-Structure-Based Active Fault Diagnosis: A Geometric Observer Approach |
| title_full | Fault-Structure-Based Active Fault Diagnosis: A Geometric Observer Approach |
| title_fullStr | Fault-Structure-Based Active Fault Diagnosis: A Geometric Observer Approach |
| title_full_unstemmed | Fault-Structure-Based Active Fault Diagnosis: A Geometric Observer Approach |
| title_short | Fault-Structure-Based Active Fault Diagnosis: A Geometric Observer Approach |
| title_sort | fault structure based active fault diagnosis a geometric observer approach |
| topic | active fault diagnosis geometric approach auxiliary input fault structure incipient faults |
| url | https://www.mdpi.com/1996-1073/13/17/4475 |
| work_keys_str_mv | AT zhaozhang faultstructurebasedactivefaultdiagnosisageometricobserverapproach AT xiaohe faultstructurebasedactivefaultdiagnosisageometricobserverapproach |