Reliability Evaluation of Transplanter Based on Weibull Model

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Wen, Changjun^1 ; Wang, Mian^1 ; Li, Hongmei^2 ; Wang, Hongliang^1 ; Liu, Changlian^1

School of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei

430068, China^1

Anlu Center of Public Inspection and Testing, Anlu, Hubei

432600, China^2

关键词: Correlation coefficient;    Failure rate functions;    Fault probabilities;    Least squares methods;    Reliability Evaluation;    Reliability functions;    Two-parameter Weibull model;    Weibull model distributions;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052067/pdf
DOI  :  10.1088/1757-899X/569/5/052067

来源: IOP

【 摘 要 】

Some fault time data of a certain type of transplanter are collected and counted, and regression analysis is used as the judgement basis for establishing reliability model. A two-parameter Weibull model is established by using the fault time data. The model parameters are estimated by the least squares method, and the regression analysis is used to verify the model. After the linearization of the Weibull model distribution function, the least squares method is used and the regression equation is derived by means of Matlab programming. The correlation coefficient is calculated, and the linear correlation test is performed by t-test. The fitting precision is obtained. Plotting the fault probability distribution function graph, failure probability density function graph, Reliability function graph and Failure rate function graph of the transplanter. Based on the Weibull model, the cumulative failure probability and reliability of the transplanter are evaluated under a certain service life. It provides a reference for the repair of the transplanter.