Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method
The cracking of piezoelectric ceramics is the main reason of failure of an ultrasonic motor. Since the fault information is too weak to reflect the condition of piezoelectric ceramics especially in the early degradation stage, a fault feature extraction method based on multiscale morphological spect...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2019/5180590 |
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| _version_ | 1832545390497366016 |
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| author | Guoqing An Hongru Li |
| author_facet | Guoqing An Hongru Li |
| author_sort | Guoqing An |
| collection | DOAJ |
| description | The cracking of piezoelectric ceramics is the main reason of failure of an ultrasonic motor. Since the fault information is too weak to reflect the condition of piezoelectric ceramics especially in the early degradation stage, a fault feature extraction method based on multiscale morphological spectrum and permutation entropy is proposed. Firstly, a signal retaining the morphological feature under different scales is reconstructed with multiscale morphological spectrum components. Then, the permutation entropy of the reconstructed signal is taken as the fault feature of piezoelectric ceramics. Furthermore, a sensitivity factor is defined to optimize the embedded dimension and delay time of permutation entropy according to double sample Z value analysis. Finally, a matrix composed of the probability distributions, obtained from permutation entropy calculation, is applied for the degradation state identification by means of probability distribution divergence. The analysis of actual test data demonstrates that this method is feasible and effective. |
| format | Article |
| id | doaj-art-a61ca8a8bcb346d1a50cb56b5110ebf8 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-a61ca8a8bcb346d1a50cb56b5110ebf82025-02-03T07:26:02ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/51805905180590Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction MethodGuoqing An0Hongru Li1Army Engineering University, Shijiazhuang 050003, ChinaArmy Engineering University, Shijiazhuang 050003, ChinaThe cracking of piezoelectric ceramics is the main reason of failure of an ultrasonic motor. Since the fault information is too weak to reflect the condition of piezoelectric ceramics especially in the early degradation stage, a fault feature extraction method based on multiscale morphological spectrum and permutation entropy is proposed. Firstly, a signal retaining the morphological feature under different scales is reconstructed with multiscale morphological spectrum components. Then, the permutation entropy of the reconstructed signal is taken as the fault feature of piezoelectric ceramics. Furthermore, a sensitivity factor is defined to optimize the embedded dimension and delay time of permutation entropy according to double sample Z value analysis. Finally, a matrix composed of the probability distributions, obtained from permutation entropy calculation, is applied for the degradation state identification by means of probability distribution divergence. The analysis of actual test data demonstrates that this method is feasible and effective.http://dx.doi.org/10.1155/2019/5180590 |
| spellingShingle | Guoqing An Hongru Li Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method Shock and Vibration |
| title | Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method |
| title_full | Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method |
| title_fullStr | Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method |
| title_full_unstemmed | Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method |
| title_short | Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method |
| title_sort | degradation state identification of cracked ultrasonic motor by means of fault feature extraction method |
| url | http://dx.doi.org/10.1155/2019/5180590 |
| work_keys_str_mv | AT guoqingan degradationstateidentificationofcrackedultrasonicmotorbymeansoffaultfeatureextractionmethod AT hongruli degradationstateidentificationofcrackedultrasonicmotorbymeansoffaultfeatureextractionmethod |