Application of Matching Pursuit Algorithm in Fault Diagnosis of Varying Speeds Gears
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摘要: 针对变转速工况下低速级断齿齿轮产生的加速度信号含有冲击共振，且准平稳成分能量低的特点，通过最值搜索直接确定故障齿轮轴每转一圈出现的单个冲击响应峰值的时刻。基于相关滤波法根据峰值时刻右侧较短的时间序列获得模态参数估计（固有频率和阻尼比），减少了计算量。根据冲击字典，使用匹配追踪算法对时域冲击响应成分进行提取；再将去除冲击成分的余量转换到角域，根据稳态调制字典从角域余量中提取系统的平稳型故障特征。仿真与实验表明时域冲击和角域平稳型故障分量被很好的重构；利用阶次跟踪，实现了振动特征提取和齿轮箱的故障诊断。Abstract: Aiming at the problem that the acceleration signal generated by the low-speed broken gear under speed variations contains the impact resonance, and the energy of quasi-stationary component is lower, a new fault diagnosis method for varying speeds gears is presented. The time of the single impulse component peaks emerged within each rotation of the fault gear shaft, is determined directly with searching extreme value. It makes the cost reduction of calculation, as the parameters estimation of modal (natural frequencies and damping ratio) are calculated according to the shorter time series on the right side of the peaks time based on correlation filtering. The time domain impulse response component is extracted by matching pursuit algorithm via the impact dictionary. After removing the impact component from original vibration, residual signal is converted into the angular domain. The steady-type fault feature of the system is extracted from angular residual signal by utilizing the quasi-steady modulation dictionary. Simulation and experimental results show that the impulse component in time domain and steady-type fault components of angular domain are reconstructed well. Feature extraction of vibration and fault diagnosis of the gearbox are implemented with order tracking.
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[1] Sharma V, Parey A. Gear crack detection using modified TSA and proposed fault indicators for fluctuating speed conditions[J]. Measurement, 2016, 90:560-575 doi: 10.1016/j.measurement.2016.04.076 [2] Antoni J, Bonnardot F, Raad A, et al. Cyclostationary modelling of rotating machine vibration signals[J]. Mechanical Systems and Signal Processing, 2004, 18(6):1285-1314 doi: 10.1016/S0888-3270(03)00088-8 [3] Luo J S, Zhang S H, Zhong M G, et al. Order spectrum analysis for bearing fault detection via joint application of synchrosqueezing transform and multiscale chirplet path pursuit[J]. Shock and Vibration, 2016, 2016:2976389 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=e3d5bd5e62046316f43c82582a184dd9 [4] He G L, Ding K, Li W H, et al. A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique[J]. Renewable Energy, 2016, 87:364-375 doi: 10.1016/j.renene.2015.10.036 [5] 何国林, 丁康, 林慧斌.基于匹配追踪的齿轮箱耦合调制振动信号分离方法研究[J].机械工程学报, 2016, 52(1):102-108 http://d.old.wanfangdata.com.cn/Periodical/jxgcxb201601013He G L, Ding K, Lin H B. Matching pursuit method for coupling modulation signal separation of gearbox vibration[J]. Journal of Mechanical Engineering, 2016, 52(1):102-108(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/jxgcxb201601013 [6] 訾艳阳, 李庆祥, 何正嘉.Laplace小波相关滤波法与冲击响应提取[J].振动工程学报, 2003, 16(1):67-70 doi: 10.3969/j.issn.1004-4523.2003.01.012Zi Y Y, Li Q X, He Z J. Extraction of impulse response based on correlation filtering method of Lapalace wavelet[J]. Journal of Vibration Engineering, 2003, 16(1):67-70(in Chinese) doi: 10.3969/j.issn.1004-4523.2003.01.012 [7] Zi Y Y, Chen X F, He Z J, et al. Vibration based modal parameters identification and wear fault diagnosis using Laplace wavelet[J]. Key Engineering Materials, 2005, 293-294:183-192 doi: 10.4028/www.scientific.net/KEM.293-294.183 [8] Elad M. Sparse and redundant representations: from theory to applications in signal and image processing[M]. New York: Springer, 2010:1094-1097 [9] 樊薇, 李双, 蔡改改, 等.瞬态成分Laplace小波稀疏表示及其轴承故障特征提取应用[J].机械工程学报, 2015, 51(15):110-118 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jxgcxb201515015Fan W, Li S, Cai G G, et al. Sparse representation for transients in Laplace wavelet basis and its application in feature extraction of bearing fault[J]. Journal of Mechanical Engineering, 2015, 51(15):110-118(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jxgcxb201515015 [10] He G L, Ding K, Lin H B. Gearbox coupling modulation separation method based on match pursuit and correlation filtering[J]. Mechanical Systems and Signal Processing, 2016, 66-67:597-611 doi: 10.1016/j.ymssp.2015.06.018 [11] Morales-Perez C, Rangel-Magdaleno J, Peregrina-Barreto H, et al. Incipient broken rotor bar detection in induction motors using vibration signals and the orthogonal matching pursuit algorithm[J]. IEEE Transactions on Instrumentation and Measurement, 2018, 67(9):2058-2068 doi: 10.1109/TIM.2018.2813820 [12] Qin Y. A new family of model-based impulsive wavelets and their sparse representation for rolling bearing fault diagnosis[J]. IEEE Transactions on Industrial Electronics, 2018, 65(3):2716-2726 doi: 10.1109/TIE.2017.2736510 [13] Zhao C, Feng Z P, Wei X K, et al. Sparse classification based on dictionary learning for planet bearing fault identification[J]. Expert Systems with Applications, 2018, 108:233-245 doi: 10.1016/j.eswa.2018.05.012 [14] Li Y Z, Ding K, He G L, et al. Vibration mechanisms of spur gear pair in healthy and fault states[J]. Mechanical Systems and Signal Processing, 2016, 81:183-201 doi: 10.1016/j.ymssp.2016.03.014 [15] Li Y Z, Ding K, He G L, et al. Non-stationary vibration feature extraction method based on sparse decomposition and order tracking for gearbox fault diagnosis[J]. Measurement, 2018, 124:453-469 doi: 10.1016/j.measurement.2018.04.063 [16] 赵明.变转速下机械动态信息的自适应提取与状态评估[D].西安: 西安交通大学, 2017Zhao M. Adaptive dynamic information extraction and state evaluation for machinery under varying speeds[D]. Xi'an: Xi'an Jiaotong University, 2017(in Chinese) -
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