@inproceedings{1bb5d7c59a894ecfbff7ab3679bba4cc,
title = "Research on the Wheel System Fault Diagnosis of Special Vehicle Based on Wavelet Packet-AR Model Spectrum Technique",
abstract = "Wavelet packet autoregressive spectrum technique are used to analyze the steady and unsteady vibration signals of vehicle wheel system, extracts the fault characteristics of special vehicle wheel system, and realize the extraction of the fault characteristics of analysis object. By analyzing the fitting clearance of wheel system gears, discriminates the fault phenomenon of vehicle wheel system, provides important supports for the maintenance of special vehicle wheel system. Experiments show that this method can realize the fault diagnosis of wheel system for special vehicle equipments and fast on-line measurement, and provide strong support to maintain the intact rate of equipments.",
keywords = "AR Model Spectrum, fault diagnosis, wavelet packet, wheel system",
author = "Guangfeng Li and Yang Liu and Yingchun Guo and Fulong Zhang and Tao Wang",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Conference on Intelligent Computation Technology and Automation, ICICTA 2015 ; Conference date: 14-06-2015 Through 15-06-2015",
year = "2016",
month = may,
day = "18",
doi = "10.1109/ICICTA.2015.201",
language = "English",
series = "Proceedings - 8th International Conference on Intelligent Computation Technology and Automation, ICICTA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "793--796",
booktitle = "Proceedings - 8th International Conference on Intelligent Computation Technology and Automation, ICICTA 2015",
address = "United States",
}