A Robust State Estimation Method for Unknown, Time-Varying and Featureless Aircraft Sensor Failures
Fault-tolerant state estimation is necessary for analytical redundancy in aviation safety, but complicated fault conditions pose a major challenge to reliable estimations. In this paper, we propose a new state-estimation method based on an intermittent-measurement Kalman filter, a maximum-likelihood...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9123369/ |
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doaj-66778ed0d1844d8c95c59433053d9e6c2021-03-30T02:29:59ZengIEEEIEEE Access2169-35362020-01-01811812511813410.1109/ACCESS.2020.30044569123369A Robust State Estimation Method for Unknown, Time-Varying and Featureless Aircraft Sensor FailuresHongbo Wang0https://orcid.org/0000-0001-7276-2547Dong Liu1Tianyu Chen2Xiansheng Qin3https://orcid.org/0000-0001-8783-243XSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, ChinaFirst Aircraft Institute, Aviation Industry Corporation of China, Xi’an, ChinaSchool of Electronic Engineering, Xi’an University of Posts and Telecommunications, Xi’an, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, ChinaFault-tolerant state estimation is necessary for analytical redundancy in aviation safety, but complicated fault conditions pose a major challenge to reliable estimations. In this paper, we propose a new state-estimation method based on an intermittent-measurement Kalman filter, a maximum-likelihood estimation rule, and the Gaussian mixture reduction. This method is robust to time-varying and featureless faults, and requires no past history of innovation errors to perform fault detection and isolation, leading to the easy implementation and improved accuracy under severe sensor-failure conditions. With an example application of monitoring the rotation speeds of a two-spool jet engine in simulations, the effectiveness of the proposed method is verified.https://ieeexplore.ieee.org/document/9123369/State estimationintermittent measurementsfault detectionKalman filterjet engine |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Hongbo Wang Dong Liu Tianyu Chen Xiansheng Qin |
| spellingShingle |
Hongbo Wang Dong Liu Tianyu Chen Xiansheng Qin A Robust State Estimation Method for Unknown, Time-Varying and Featureless Aircraft Sensor Failures IEEE Access State estimation intermittent measurements fault detection Kalman filter jet engine |
| author_facet |
Hongbo Wang Dong Liu Tianyu Chen Xiansheng Qin |
| author_sort |
Hongbo Wang |
| title |
A Robust State Estimation Method for Unknown, Time-Varying and Featureless Aircraft Sensor Failures |
| title_short |
A Robust State Estimation Method for Unknown, Time-Varying and Featureless Aircraft Sensor Failures |
| title_full |
A Robust State Estimation Method for Unknown, Time-Varying and Featureless Aircraft Sensor Failures |
| title_fullStr |
A Robust State Estimation Method for Unknown, Time-Varying and Featureless Aircraft Sensor Failures |
| title_full_unstemmed |
A Robust State Estimation Method for Unknown, Time-Varying and Featureless Aircraft Sensor Failures |
| title_sort |
robust state estimation method for unknown, time-varying and featureless aircraft sensor failures |
| publisher |
IEEE |
| series |
IEEE Access |
| issn |
2169-3536 |
| publishDate |
2020-01-01 |
| description |
Fault-tolerant state estimation is necessary for analytical redundancy in aviation safety, but complicated fault conditions pose a major challenge to reliable estimations. In this paper, we propose a new state-estimation method based on an intermittent-measurement Kalman filter, a maximum-likelihood estimation rule, and the Gaussian mixture reduction. This method is robust to time-varying and featureless faults, and requires no past history of innovation errors to perform fault detection and isolation, leading to the easy implementation and improved accuracy under severe sensor-failure conditions. With an example application of monitoring the rotation speeds of a two-spool jet engine in simulations, the effectiveness of the proposed method is verified. |
| topic |
State estimation intermittent measurements fault detection Kalman filter jet engine |
| url |
https://ieeexplore.ieee.org/document/9123369/ |
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