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NTIS 바로가기Applied sciences, v.10 no.6, 2020년, pp.1946 -
Han, Liubang (School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China) , Jiang, Kuosheng (School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China) , Wang, Qidong (School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China) , Wang, Xuanyao (School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China) , Zhou, Yuanyuan (School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China)
High impact and strong noise complicate the response of reciprocating compressor (RC). It requires a complex signal processing method that is a single response-based or excitation-based fault diagnosis method applied to RC valve leakage fault diagnosis. This paper proposes a quantitative diagnosis m...
Zhao A compound interpolation envelope local mean decomposition and its application for fault diagnosis of reciprocating compressors Mech. Syst. Signal Process. 2018 10.1016/j.ymssp.2018.03.035 110 273
10.1016/j.measurement.2019.107315 Sim, H.Y., Ramli, R., Saifizul, A., and Soong, M.F. (2020). Detection and estimation of valve leakage losses in reciprocating compressor using acoustic emission technique. Measurement, 152.
Tang Fault feature extraction of reciprocating compressor based on adaptive waveform decomposition and Lempel-Ziv complexity IEEE Access 2019 10.1109/ACCESS.2019.2923657 7 82522
10.3390/app10020704 Liu, W.H., Jiang, Z.N., Wang, Y., Zhou, C., Sun, X., and Zhang, J. (2020). Performance degradation analysis and optimization of the stepless capacity regulation system for reciprocating compressors. Appl. Sci., 10.
Lu Centrifugal compressor fault diagnosis based on qualitative simulation and thermal parameters Mech. Syst. Signal Process. 2016 10.1016/j.ymssp.2016.03.018 81 259
Figlus The application of a continuous wavelet transform for diagnosing damage to the timing chain tensioner in a motorcycle engine J. Vibroeng. 2015 17 1286
Bi Source identification of gasoline engine noise based on continuous wavelet transform and EEMD-RobustICA Appl. Acoust. 2015 10.1016/j.apacoust.2015.07.007 100 34
Madej Discrete wavelet transform and probabilistic neural network in IC engine fault diagnosis Eksploat. Niezawodn. 2010 4 47
Sharma Performance evaluation of decomposition methods to diagnose leakage in a reciprocating compressor under limited speed variation Mech. Syst. Signal Process. 2019 10.1016/j.ymssp.2018.07.029 125 275
Kordestani A modular fault diagnosis and prognosis method for hydro-control valve system based on redundancy in multisensor data information IEEE Trans. Reliab. 2019 10.1109/TR.2018.2864706 68 330
Loukopoulos Abrupt fault remaining useful life estimation using measurements from a reciprocating compressor valve failure Mech. Syst. Signal Process. 2019 10.1016/j.ymssp.2018.09.033 121 359
Roskosch Thermodynamic model for reciprocating compressors with the focus on fluid dependent efficiencies Int. J. Refrig. 2017 10.1016/j.ijrefrig.2017.08.011 82 104
Wang Investigation on the delayed closure of the suction valve in the refrigerator compressor by FSI modeling Int. J. Refrig. 2018 10.1016/j.ijrefrig.2018.05.004 91 111
10.3390/app9061179 Liu, Z., Lan, Z.J., Guo, J.Z., Zhang, J., Xie, Y., Cao, X., and Duan, Z. (2019). A new hybrid reciprocating compressor model coupled with acoustic fem characterization and gas dynamics. Appl. Sci., 9.
10.3390/app9050946 Liu, Z., Jia, W.G., Liang, L.H., and Duan, Z.Y. (2019). Analysis of pressure pulsation influence on compressed natural gas (CNG) compressor performance for ideal and real gas models. Appl. Sci., 9.
Zhao A feature extraction method based on HLMD and MFE for bearing clearance fault of reciprocating compressor Measurement 2016 10.1016/j.measurement.2016.03.076 89 34
Zhu Deep belief network-based internal valve leakage rate prediction approach Measurement 2019 10.1016/j.measurement.2018.10.020 133 182
Jafarian Misfire and valve clearance faults detection in the combustion engines based on a multi-sensor vibration signal monitoring Measurement 2018 10.1016/j.measurement.2018.04.062 128 527
Potocnik Semi-supervised vibration-based classification and condition monitoring of compressors Mech. Syst. Signal Process. 2017 10.1016/j.ymssp.2017.01.048 93 51
Pichler Fault detection in reciprocating compressor valves under varying load conditions Mech. Syst. Signal Process. 2016 10.1016/j.ymssp.2015.09.005 70-71 104
Loukopoulos Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements Appl. Acoust. 2019 10.1016/j.apacoust.2017.12.003 147 77
Flett Fault detection and diagnosis of diesel engine valve trains Mech. Syst. Signal Process. 2016 10.1016/j.ymssp.2015.10.024 72-73 316
Qi Fault-diagnosis for reciprocating compressors using big data and machine learning Simul. Model. Pract. Theory 2018 10.1016/j.simpat.2017.10.005 80 104
Gu Electrical motor current signal analysis using a modified bispectrum for fault diagnosis of downstream mechanical equipment Mech. Syst. Signal Process. 2011 10.1016/j.ymssp.2010.07.004 25 360
Zhang Gear wear monitoring by modulation signal bispectrum based on motor current signal analysis Mech. Syst. Signal Process. 2017 10.1016/j.ymssp.2017.02.037 94 202
10.3390/en12081438 Huang, B.S., Feng, G.J., Tang, X.L., Gu, J.X., Xu, G., Cattley, R., Gu, F., and Ball, A.D. (2019). A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems. Energies, 12.
Wang Fault diagnosis of reciprocating compressor valve with the method integrating acoustic emission signal and simulated valve motion Mech. Syst. Signal Process. 2015 56-57 97
10.1155/2019/5656143 Jiang, K.S., Li, L.H., Han, L.B., and Guo, S. (2019). In-process quality inspection of rolling element bearings based on the measurement of microelastic deformation of outer ring. Shock Vib.
Gornicka Vibroacoustic symptom of the exhaust valve damage of the internal combustion engine J. Vibroeng. 2014 16 1925
Szymanski Diagnostics of automatic compensators of valve clearance in combustion engine with the use of vibration signal Mech. Syst. Signal Process. 2016 10.1016/j.ymssp.2015.07.015 68-69 479
Verma Intelligent condition based monitoring using acoustic signals for air compressors IEEE Trans. Reliab. 2016 10.1109/TR.2015.2459684 65 291
Jiang Quantitative evaluation of the impurity content of grease for low-speed heavy-duty bearing using an acoustic emission technique Meas. Control 2019 10.1177/0020294019858214 52 1159
10.3390/e18070253 Figlus, T., Gnap, J., Skrucany, T., Sarkan, B., and Stoklosa, J. (2016). The use of denoising and analysis of the acoustic signal entropy in diagnosing engine valve clearance. Entropy, 18.
Albarbar Acoustic monitoring of engine fuel injection based on adaptive filtering techniques Appl. Acoust. 2010 10.1016/j.apacoust.2010.07.001 71 1132
Li A new method for nondestructive fault diagnosis of reciprocating compressor by means of strain-based p-V diagram Mech. Syst. Signal Process. 2019 10.1016/j.ymssp.2019.106268 133 1
Jiang In processing fault detection of machinery based on instantaneous phase signal IEEE Access 2019 10.1109/ACCESS.2019.2937225 7 123535
Elhaj Numerical simulation and experimental study of a two-stage reciprocating compressor for condition monitoring Mech. Syst. Signal Process. 2008 10.1016/j.ymssp.2007.08.003 22 374
Tran An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks Expert Syst. Appl. 2014 10.1016/j.eswa.2013.12.026 41 4113
Kandukuri A two-stage fault detection and classification scheme for electrical pitch drives in offshore wind farms using support vector machine IEEE Trans. Ind. Appl. 2019 10.1109/TIA.2019.2924866 55 5109
Liu A classification method for complex power quality disturbances using EEMD and rank wavelet SVM IEEE Trans. Smart Grid 2015 10.1109/TSG.2015.2397431 6 1678
Liu Feature extraction of rotor fault based on EEMD and curve code Measurement 2019 10.1016/j.measurement.2018.12.009 135 712
Lin An improved fault diagnosis method based on a genetic algorithm by selecting appropriate IMFs IEEE Access 2019 10.1109/ACCESS.2019.2915366 7 60310
Yang Diagnostics of gear deterioration using EEMD approach and PCA process Measurement 2015 10.1016/j.measurement.2014.10.026 61 75
Zhang A rogowski digital integrator with comb filter signal processing system IEEE Trans. Plasma Sci. 2018 10.1109/TPS.2018.2815699 46 1338
Zahradnik Design of optimal comb FIR filters-speed and robustness IEEE Signal Process. Lett. 2009 10.1109/LSP.2009.2016827 16 465
Zhang Multi-fault diagnosis of gearbox based on resonance-based signal sparse decomposition and comb filter Measurement 2017 10.1016/j.measurement.2017.03.006 103 361
Li A new rotation machinery fault diagnosis method based on deep structure and sparse least squares support vector machine IEEE Access 2019 10.1109/ACCESS.2019.2901363 7 26571
Gangsar A support vector machine based fault diagnostics of Induction motors for practical situation of multi-sensor limited data case Measurement 2019 10.1016/j.measurement.2018.12.011 135 694
Li Early fault diagnosis of rolling bearings based on hierarchical symbol dynamic entropy and binary tree support vector machine J. Sound Vib. 2018 10.1016/j.jsv.2018.04.036 428 72
Zou Data-driven modeling and real-time distributed control for energy efficient manufacturing systems Energy 2017 10.1016/j.energy.2017.03.123 127 247
Bellini Quantitative evaluation of induction motor broken bars by means of electrical signature analysis IEEE Trans. Ind. Appl. 2001 10.1109/28.952499 37 1248
Zhen Fault diagnosis of motor drives using stator current signal analysis based on dynamic time warping Mech. Syst. Signal Process. 2013 10.1016/j.ymssp.2012.07.018 34 191
10.3390/en12040597 Iglesias-Martínez, M.E., Antonino-Daviu, J.A., de Córdoba, F.P., and Conejero, J.A. (2019). Rotor fault detection in induction motors based on time-frequency analysis using the bispectrum and the autocovariance of stray flux signals. Energies, 12.
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