Method of Actuator Fault Diagnosis via Multiple Angles Feature Extraction
WANG Na1,2， LI Yang1， PENG Kun1
1. School of Control Science and Engineering， Tiangong University， Tianjin 300387， China; 2. Tianjin Key Laboratory of Intelligent Control of Electrical Equipment， Tianjin 300387， China.
WANG Na， LI Yang， PENG Kun. Method of Actuator Fault Diagnosis via Multiple Angles Feature Extraction[J]. Journal of Northeastern University(Natural Science), 2022, 43(9): 1240-1249.
[1]刘晓东，吴云洁，张武龙，等.导弹电动舵机系统离散自适应全程滑模控制［J］.信息与控制，2013，42(4):449-456.(Liu Xiao-dong，Wu Yun-jie，Zhang Wu-long，et al.Discrete adaptive global sliding mode control for missile electromechanical actuator system［J］.Information and Control，2013，42(4):449-456.) [2]Ruiz-Carcel C，Starr A.Data-based detection and diagnosis of faults in linear actuators［J］.IEEE Transactions on Instrumentation and Measurement，2018，67(7):2035-2047. [3]周满.电动舵机系统扰动分析与控制策略研究［D］.北京:中国科学院大学，2020.(Zhou Man.Disturbance analysis and control of electromechanical actuator system［D］.Beijing:University of Chinese Academy of Sciences，2020.) [4]Avram R，Zhang X D，Muse J.Quadrotor actuator fault diagnosis and accommodation using nonlinear adaptive estimators［J］.IEEE Transactions on Control Systems Technology，2017，25(6):2219-2226. [5]Ma H J，Liu Y L，Li T B，et al.Nonlinear high-gain observer-based diagnosis and compensation for actuator and sensor faults in a quadrotor unmanned aerial vehicle［J］.IEEE Transactions on Industrial Informatics，2019，15(1):550-562. [6]Guo B，Yan X，Yang X，et al. An intelligent time-adaptive data-driven method for sensor fault diagnosis in induction motor drive system［J］.IEEE Transactions on Industrial Electronics，2019，66(12):9817-9827. [7]Wang J Y，Miao J G，Wang J L，et al.Fault diagnosis of electrohydraulic actuator based on multiple source signals:an experimental investigation［J］.Neurocomputing，2020，417(5):224-248. [8]Lin C G，Zou M S，Jiao H F，et al.Transient vibration and acoustic radiation of steering engines［J］.Journal of Low Frequency Noise Vibration and Active Control，2018，37(2):341-354. [9]Wen L，Li X Y，Gao L，et al.A new convolutional neural network based data-driven fault diagnosis method［J］.IEEE Transactions on Industrial Electronics，2018，65(7):5990-5998. [10]Mallikarjuna P B，Sreenatha M，Manjunath S，et al.Aircraft gearbox fault diagnosis system:an approach based on deep learning techniques［J］.Journal of Intelligent Systems，2020，30(1):258-272. [11]宋知用.MATLAB在语音信号分析与合成中的应用［M］.北京:北京航空航天大学出版社，2013:12-13.(Song Zhi-yong.Application of MATLAB in speech signal analysis and synthesis［M］.Beijing:Beihang University Press，2013:12-13.) [12]Wan S，Dou L，Li C，et al.Fault diagnosis for high voltage circuit breaker based on timing parameters and FCM［J］.IEICE Electronics Express，2018，15(9):1-12. [13]Abhishek S，Suresh S.On the exploration of information from the DTW cost matrix for online signature verification［J］.IEEE Transactions on Cybernetics，2018，48(2):611-624. [14]Harris F J.On the use of windows for harmonic analysis with the discrete Fourier transform［J］.IEEE Proceedings，1978，66(1):51-83. [15]李振华，胡廷和，杜亚伟，等.基于窗函数和谱线插值理论的谐波检测方法［J］.电力系统保护与控制，2019，47(22):78-88.(Li Zhen-hua，Hu Yan-he，Du Ya-wei，et al.Harmonic detection method based on the theory of windows and spectrum line interpolation［J］.Power System Protection and Control，2019，47(22):78-88.) [16]万书亭，豆龙江，李聪，等.基于振动信号的高压断路器合闸特性参数在线检测方法研究［J］.振动工程学报，2019，32(2):359-367.(Wan Shu-ting，Dou Long-jiang，Li Cong，et al.Study on on-line detection of high voltage circuit breaker closing characteristic parameters based on vibration signal［J］.Journal of Vibration Engineering，2019，32(2):359-367.) [17]Sharma A，Sundaram S.A novel online signature verification system based on GMM features in a DTW framework［J］.IEEE Transactions on Information Forensics and Security，2017，12(3):702-718. [18]Li H L.Time works well:dynamic time warping based on time weighting for time series data mining［J］.Information Sciences，2021，547(8):592-608. [19]Yan R，Liao J Q，Yang J，et al.Multi-hour and multi-site air quality index forecasting in Beijing using CNN，LSTM，CNN-LSTM，and spatiotemporal clustering［J］.Expert Systems with Applications，2021，169(1):1-15. [20]Hochreiter S，Schmidhuber J.Long short-term memory［J］.Neural Computation，1997，9(8):1735-1780. [21]陈剑，何涛，闻英友，等.基于BERT模型的司法文书实体识别方法［J］.东北大学学报(自然科学版)，2020，41(10):1382-1387.(Chen Jian，He Tao，Wen Ying-you，et al.Entity recognition method for judicial documents based on BERT model［J］.Journal of Northeastern University(Natural Science)，2020，41(10):1382-1387.) [22]Greg V H，Carlos M，Mosquera C，et al.A review on the long short-term memory model［J］.Artificial Intelligence Review，2020，53(8):5929-5955. [23]Wang S X，Wang X，Wang S M，et al.Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting［J］.International Journal of Electrical Power & Energy Systems，2019，109(1):470-479.(上接第1224页) [11]Ravankar A，Ravankar A A，Kobayashi Y，et al.Path smoothing techniques in robot navigation:state-of-the-art，current and future challenges［J］.Sensors，2018，18(9):3170-3178. [12]Maekawa T，Noda T，Tamura S，et al.Curvature continuous path generation for autonomous vehicle using B-spline curves［J］.Computer-Aided Design，2010，42(4):350-359. [13]Lin M，Kai Y ，Shi C ，et al.Path planning of mobile robot based on improved A* algorithm［C］// Proceedings of the 2017 29th Chinese Control and Decision Conference.Chongqing:IEEE，2017:3570-3576. [14]Elbenhawi M，Simic M，Jazar R.Continuous-curvature bounded trajectory planning using parametric splines［J］.Frontiers in Artificial Intelligence and Applications，2014，262:513-522.
