A weak fault diagnosis scheme for common rail injector based on MGOA-MOMEDA and improved hierarchical dispersion entropy. (3rd December 2020)

• Record Type: Journal Article
• Authors: Yun, Ke; Chong, Yao; Enzhe, Song; Liping, Yang; Quan, Dong
• Is Part Of: Measurement science & technology. Volume 32:Number 2(2021)
• Publication Date: 2020-12-03
• Subjects: multipoint optimal minimum entropy deconvolution adjusted (MOMEDA) -- grasshopper optimization algorithm (GOA) -- improved hierarchical dispersion entropy -- weak fault diagnosis -- fuel injector; Physical measurements -- Periodicals; Scientific apparatus and instruments -- Periodicals; Equipment and Supplies -- Periodicals; Science -- instrumentation -- Periodicals; Technology -- instrumentation -- Periodicals; Mesures physiques -- Périodiques; Physical measurements; Scientific apparatus and instruments; Periodicals; 502.87
• DOI: 10.1088/1361-6501/abb892
• Languages: English
• ISSNs: 0957-0233

Abstract

Abstract: Aiming at the problem that the common rail injector's early fault characteristics are very weak and susceptible to random noise and other signal interference, this paper proposes a new common rail injector weak fault diagnosis method based on multipoint optimal minimum entropy deconvolution adjusted based on modified grasshopper optimization algorithm optimization algorithm (MGOA-MOMEDA), improved hierarchical dispersion entropy, and least square support vector machine. First, the fault period T is determined using the multipoint kurtosis spectrum. Through the MGOA optimization algorithm, the optimal filter length L of MOMEDA is obtained adaptively, and the optimal performance filter is used for filter processing. Then, improved hierarchical discrete entropy is used to measure the complexity of the filtered fuel pressure signal to extract weak fault features. Finally, the fault feature vector is input into the LS-SVM multi-classifier to realize the weak fault diagnosis and recognition of the common rail injector. Through experimental verification, the proposed method can effectively achieve the weak fault diagnosis of the common rail injector.