Gears are widely used in machines to transmit torque from one shaft to another shaft and to change the speed of a power source. Gear failure is one of the major causes for mechanical transmission system breakdown. Therefore, early gear faults must be immediately detected prior to its failure. Once early gear faults are diagnosed, gear remaining useful life (RUL) should be estimated to prevent any unexpected gear failure. In this paper, an intelligent prognostic system is developed for gear performance degradation assessment and RUL estimation. For gear performance degradation assessment, which aims to monitor current gear health condition, first, the frequency spectrum of gear acceleration error signal is mathematically analyzed to design a high-order complex Comblet for extracting gear fault related signatures. Then, two health indicators called heath indicator 1 and health indicator 2 are constructed to detect early gear faults and assess gear performance degradation, respectively, using two individual dynamic Bayesian networks. For gear RUL estimation, which aims to predict future gear health condition, a general sequential Monte Carlo algorithm is applied to iteratively infer gear failure probability density function (FPDF), which is used to predict gear residual lifetime. One case study is investigated to illustrate how the developed prognostic system works. The vibration data collected from a gearbox accelerated life test are used in this paper, where the gearbox started from a brand-new state, and ran until gear tooth failure. The results show that the developed prognostic system is able to detect early gear faults, track gear performance degradation, and predict gear RUL.
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April 2015
Research-Article
An Intelligent Prognostic System for Gear Performance Degradation Assessment and Remaining Useful Life Estimation
Dong Wang,
Dong Wang
School of Aeronautics and Astronautics,
Chengdu, Sichuan 610065,
e-mail: dongwang4-c@my.cityu.edu.hk
Sichuan University
,No. 24 South Section 1, Yihuan Road
,Chengdu, Sichuan 610065,
China
e-mail: dongwang4-c@my.cityu.edu.hk
Search for other works by this author on:
Qiang Miao,
Qiang Miao
1
School of Aeronautics and Astronautics,
Chengdu, Sichuan 610065,
e-mail: mqiang@scu.edu.cn
Sichuan University
,No. 24 South Section 1, Yihuan Road
,Chengdu, Sichuan 610065,
China
e-mail: mqiang@scu.edu.cn
1Corresponding author.
Search for other works by this author on:
Qinghua Zhou,
Qinghua Zhou
School of Aeronautics and Astronautics,
Chengdu, Sichuan 610065,
Sichuan University
,No. 24 South Section 1, Yihuan Road
,Chengdu, Sichuan 610065,
China
Search for other works by this author on:
Guangwu Zhou
Guangwu Zhou
School of Aeronautics and Astronautics,
Chengdu, Sichuan 610065,
Sichuan University
,No. 24 South Section 1, Yihuan Road
,Chengdu, Sichuan 610065,
China
Search for other works by this author on:
Dong Wang
School of Aeronautics and Astronautics,
Chengdu, Sichuan 610065,
e-mail: dongwang4-c@my.cityu.edu.hk
Sichuan University
,No. 24 South Section 1, Yihuan Road
,Chengdu, Sichuan 610065,
China
e-mail: dongwang4-c@my.cityu.edu.hk
Qiang Miao
School of Aeronautics and Astronautics,
Chengdu, Sichuan 610065,
e-mail: mqiang@scu.edu.cn
Sichuan University
,No. 24 South Section 1, Yihuan Road
,Chengdu, Sichuan 610065,
China
e-mail: mqiang@scu.edu.cn
Qinghua Zhou
School of Aeronautics and Astronautics,
Chengdu, Sichuan 610065,
Sichuan University
,No. 24 South Section 1, Yihuan Road
,Chengdu, Sichuan 610065,
China
Guangwu Zhou
School of Aeronautics and Astronautics,
Chengdu, Sichuan 610065,
Sichuan University
,No. 24 South Section 1, Yihuan Road
,Chengdu, Sichuan 610065,
China
1Corresponding author.
Contributed by the Technical Committee on Vibration and Sound of ASME for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received April 28, 2014; final manuscript received October 10, 2014; published online November 14, 2014. Assoc. Editor: Prof. Philippe Velex.
J. Vib. Acoust. Apr 2015, 137(2): 021004 (12 pages)
Published Online: April 1, 2015
Article history
Received:
April 28, 2014
Revision Received:
October 10, 2014
Online:
November 14, 2014
Citation
Wang, D., Miao, Q., Zhou, Q., and Zhou, G. (April 1, 2015). "An Intelligent Prognostic System for Gear Performance Degradation Assessment and Remaining Useful Life Estimation." ASME. J. Vib. Acoust. April 2015; 137(2): 021004. https://doi.org/10.1115/1.4028833
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