Adaptive stochastic resonance;
Fault diagnosis;
Frequency information exchange;
Wind turbine bearing;
STOCHASTIC RESONANCE;
MODE DECOMPOSITION;
GEARBOX;
D O I:
10.1007/s12206-019-0202-8
中图分类号:
TH [机械、仪表工业];
学科分类号:
0802 ;
摘要:
The fault diagnosis of wind turbine bearings is challenging because of the heavy background noise and changes in wind speed. Stochastic resonance (SR) is an effective method of detecting fault signal from noise. However, the benefit of SR is seriously limited by the system parameters and the frequency of the input signal. A novel fault diagnosis method for wind turbine bearings, combining an adaptive SR algorithm that is based on quantum particle swarm optimization (QPSO) and frequency conversion based on frequency information exchange (FIE), is proposed. First, the frequency information of the fault characteristic signal is exchanged with the reference frequency by FIE, which can eliminate the limitation of the frequency band. Then, the SR system parameters are optimized by QPSO to avoid blind parameter selection. The signal after FIE is processed by the optimized SR system. The results of case study show that under the same input signal, the proposed method can achieve better signal-to-noise ratio and response amplitude than can the traditional double-side band modulation method and an SR method that is combined only with an optimization algorithm.
机构:
Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R ChinaTianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
Li Yi-Bo
;
Zhang Bo-Lin
论文数: 0引用数: 0
h-index: 0
机构:
Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R ChinaTianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
Zhang Bo-Lin
;
Liu Zi-Xin
论文数: 0引用数: 0
h-index: 0
机构:
Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R ChinaTianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
Liu Zi-Xin
;
Zhang Zhen-Yu
论文数: 0引用数: 0
h-index: 0
机构:
Wuhan Univ, Int Sch Software, Wuhan 430072, Peoples R ChinaTianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
机构:
Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R ChinaTianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
Li Yi-Bo
;
Zhang Bo-Lin
论文数: 0引用数: 0
h-index: 0
机构:
Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R ChinaTianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
Zhang Bo-Lin
;
Liu Zi-Xin
论文数: 0引用数: 0
h-index: 0
机构:
Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R ChinaTianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
Liu Zi-Xin
;
Zhang Zhen-Yu
论文数: 0引用数: 0
h-index: 0
机构:
Wuhan Univ, Int Sch Software, Wuhan 430072, Peoples R ChinaTianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China