Prediction of Hydraulic Automatic Transmission Reliability Using Failure Data Based on Exponential Decay Oscillation Distribution Model

Aiming at the problem that the traditional reliability models of mechanical products are used to predict the reliability of hydraulic automatic transmission and the expected result is relatively large, firstly, the empirical distribution model line is used to statistically analyze the failure distri...

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Main Authors: Yongming Liu, Guowen Ye, Zhuanzhe Zhao
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2021/9424957
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author Yongming Liu
Guowen Ye
Zhuanzhe Zhao
author_facet Yongming Liu
Guowen Ye
Zhuanzhe Zhao
author_sort Yongming Liu
collection DOAJ
description Aiming at the problem that the traditional reliability models of mechanical products are used to predict the reliability of hydraulic automatic transmission and the expected result is relatively large, firstly, the empirical distribution model line is used to statistically analyze the failure distribution law of the hydraulic automatic transmission; then, the Fourier transform is used to perform frequency domain analysis on experience distribution; on this basis, comprehensively consider the characteristics of experience distribution and frequency domain characteristics of experience distribution, constructs the reliability model of exponential decay oscillation distribution and the corresponding reliability, failure efficiency and average life calculation model; meanwhile, studies the influence of attenuation coefficient, oscillation amplitude, oscillation angle frequency, and other parameters on the probability distribution characteristics. On this basis, the established probability distribution models are adopted to fit the failure time data of hydraulic automatic gearbox carried by a forklift, and the fitting results are compared with exponential distribution models, three-parameter Weibull models, and “bathtub curve” models. The comparing results show that the established exponential decayed oscillation distribution model can better describe the probability distribution characteristics of the fault-free working time of automatic transmission, and the use of this model can obtain a smaller root mean square error. Simultaneously, the research conclusions of this paper can provide meaningful guidance and reference for the analysis of the life distribution model of mechanical products with exponentially attenuated oscillation probability density change law.
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institution Kabale University
issn 1687-8434
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language English
publishDate 2021-01-01
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series Advances in Materials Science and Engineering
spelling doaj-art-a036678f09b244b9af5e71c22715d3fc2025-02-03T01:28:28ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422021-01-01202110.1155/2021/94249579424957Prediction of Hydraulic Automatic Transmission Reliability Using Failure Data Based on Exponential Decay Oscillation Distribution ModelYongming Liu0Guowen Ye1Zhuanzhe Zhao2School of Mechanical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, ChinaSchool of Mechanical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, ChinaSchool of Mechanical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, ChinaAiming at the problem that the traditional reliability models of mechanical products are used to predict the reliability of hydraulic automatic transmission and the expected result is relatively large, firstly, the empirical distribution model line is used to statistically analyze the failure distribution law of the hydraulic automatic transmission; then, the Fourier transform is used to perform frequency domain analysis on experience distribution; on this basis, comprehensively consider the characteristics of experience distribution and frequency domain characteristics of experience distribution, constructs the reliability model of exponential decay oscillation distribution and the corresponding reliability, failure efficiency and average life calculation model; meanwhile, studies the influence of attenuation coefficient, oscillation amplitude, oscillation angle frequency, and other parameters on the probability distribution characteristics. On this basis, the established probability distribution models are adopted to fit the failure time data of hydraulic automatic gearbox carried by a forklift, and the fitting results are compared with exponential distribution models, three-parameter Weibull models, and “bathtub curve” models. The comparing results show that the established exponential decayed oscillation distribution model can better describe the probability distribution characteristics of the fault-free working time of automatic transmission, and the use of this model can obtain a smaller root mean square error. Simultaneously, the research conclusions of this paper can provide meaningful guidance and reference for the analysis of the life distribution model of mechanical products with exponentially attenuated oscillation probability density change law.http://dx.doi.org/10.1155/2021/9424957
spellingShingle Yongming Liu
Guowen Ye
Zhuanzhe Zhao
Prediction of Hydraulic Automatic Transmission Reliability Using Failure Data Based on Exponential Decay Oscillation Distribution Model
Advances in Materials Science and Engineering
title Prediction of Hydraulic Automatic Transmission Reliability Using Failure Data Based on Exponential Decay Oscillation Distribution Model
title_full Prediction of Hydraulic Automatic Transmission Reliability Using Failure Data Based on Exponential Decay Oscillation Distribution Model
title_fullStr Prediction of Hydraulic Automatic Transmission Reliability Using Failure Data Based on Exponential Decay Oscillation Distribution Model
title_full_unstemmed Prediction of Hydraulic Automatic Transmission Reliability Using Failure Data Based on Exponential Decay Oscillation Distribution Model
title_short Prediction of Hydraulic Automatic Transmission Reliability Using Failure Data Based on Exponential Decay Oscillation Distribution Model
title_sort prediction of hydraulic automatic transmission reliability using failure data based on exponential decay oscillation distribution model
url http://dx.doi.org/10.1155/2021/9424957
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AT guowenye predictionofhydraulicautomatictransmissionreliabilityusingfailuredatabasedonexponentialdecayoscillationdistributionmodel
AT zhuanzhezhao predictionofhydraulicautomatictransmissionreliabilityusingfailuredatabasedonexponentialdecayoscillationdistributionmodel