Wear state identification of ball screw meta action unit based on parameter optimization VMD and improved Bilstm

• Autorzy: Ge Hongyu , Wang Cangfu , Guo Anxiang , Zhang Chuanwei , Zhao Zhan , Yang Manzhi

Identyfikatory

DOI

10.17531/ein/191461

• Języki publikacji: EN

Abstrakty

EN

Aiming at the problem that the wear feature information of the ball screw meta-action unit is easily disturbed by noise and the wear state recognition accuracy is not high, a wear state recognition method based on parameter optimization VMD and improved Bilstm was proposed.Firstly, Tent chaotic mapping and adaptive positive cosine algorithm are used to improve Northern Goshawk Optimisation Algorithm (INGO); Secondly, the INGO-VMD was used to decompose the collected vibration signals. The power spectrum entropy, alignment entropy and fuzzy entropy of the IMF components with large correlation after decomposition are calculated to construct the feature information matrix. Finally, the described feature information matrix with labels was input into the Bayesian Optimization Bilstm network model for training, and the Softmax classifier was used to classify the wear state categories. In order to verify the superiority of the proposed method, it is compared with VMD-Lstm, VMD-Bilstm and VMD-Bo-Bilstm models, and the results show that the designed method has higher recognition accuracy.

Słowa kluczowe

EN

ball screw; VMD parameter optimization; Bilstm model improvement; wear condition recognition

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2024
• Tom: Vol. 26, no. 4
• Strony: art. no. 191461
• Opis fizyczny: Bibliogr. 40 poz., rys., tab., wykr.

Twórcy

autor

Ge Hongyu

• School of Mechanical Engineering, Xi’an University of Science and Technology, China

autor

Wang Cangfu

• School of Mechanical Engineering, Xi’an University of Science and Technology, China

• https://orcid.org/0009-0003-8416-7114

autor

Guo Anxiang

• School of Mechanical Engineering, Xi’an University of Science and Technology, China

autor

Zhang Chuanwei

• School of Mechanical Engineering, Xi’an University of Science and Technology, China

autor

Zhao Zhan

• School of Mechanical Engineering, Xi’an University of Science and Technology, China

autor

Yang Manzhi

• School of Mechanical Engineering, Xi’an University of Science and Technology, China

Bibliografia

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