JOURNAL ARTICLE

Gyroscope Fault Pattern Recognition Based on Wavelet Packet Decomposition and Fuzzy Clustering

Zhaozheng LiuMingqing XiaoHaizhen ZhuJianfeng Li

Year: 2020 Journal:   Journal of Physics Conference Series Vol: 1650 (2)Pages: 022031-022031   Publisher: IOP Publishing

Abstract

Abstract Aiming at the problem that the sensor component’s inertial navigation gyro failure symptom is not obvious in a certain aircraft flight control system, this paper proposes a fault cluster recognition method based on fuzzy clustering. First, use wavelet packet decomposition to perform three-layer wavelet packet decomposition on the gyro output data to obtain the feature extraction of the gyro fault signal; then use the fuzzy clustering method to classify the extracted fault signal to achieve gyro fault pattern recognition in the sensor assembly the goal of.

Keywords:
Wavelet packet decomposition Pattern recognition (psychology) Wavelet Cluster analysis Network packet Artificial intelligence Fuzzy logic Gyroscope Fault (geology) Fuzzy clustering Computer science Feature extraction Data mining Wavelet transform Engineering

Metrics

2
Cited By
0.15
FWCI (Field Weighted Citation Impact)
4
Refs
0.56
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
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