A new extension of the modified Weibull distribution with applications for engineering data

被引:13
作者
Ghazal, M. G. M. [1 ,2 ]
机构
[1] Minia Univ, Fac Sci, Dept Math, Al Minya 61519, Egypt
[2] Univ Technol & Appl Sci, Coll Educ, Dept Math, Al Rustaq 329, Oman
关键词
Lifetime distributions; New modified Weibull distribution; Hazard rate function; Mean residual lifetime; Change point; Reliability engineering; BATHTUB FAILURE-RATE; UPSIDE-DOWN BATHTUB; MEAN RESIDUAL LIFE; RELIABILITY-ANALYSIS; MODEL;
D O I
10.1016/j.probengmech.2023.103523
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this study, a novel extension of the three-parameter modified Weibull distribution called the NMW3 distribution is proposed. The NMW3 distribution exhibits increasing or bathtub-shaped hazard rates, which can be beneficial in the context of reliability. The statistical characteristics of the NMW3 distribution are examined, including the difference between the change points of the hazard rate and the mean residual lifetime functions. Additionally, the sensitivities of the parameters and the flatness of the bathtub curve of the NMW3 distribution are discussed. The Weibull probability paper is utilized to characterize plots related to the NMW3 distribution. The parameters of the NMW3 distribution are estimated using both the graphical approach and the maximum likelihood method. Through the analysis of three real data sets, it is demonstrated that the NMW3 distribution outperforms existing extensions of the modified Weibull distributions, highlighting its practical importance. Finally, a reduced distribution of the NMW3 distribution is proposed, and it shows that the reduced distribution has almost the same advantageous characteristics as the NMW3 distribution.
引用
收藏
页数:14
相关论文
共 39 条
[21]  
Muth E.J., 1977, Theory. Appl. Reliab, V2, P401
[22]  
Nelson W., 1982, Applied life data analysis
[23]   The logistic Nadarajah-Haghighi distribution and its associated regression model for reliability applications [J].
Pena-Ramirez, Fernando A. ;
Guerra, Renata Rojas ;
Canterle, Diego Ramos ;
Cordeiro, Gauss M. .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 204
[24]   Estimation and application for a new extended Weibull distribution [J].
Peng, Xiuyun ;
Yan, Zaizai .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2014, 121 :34-42
[25]   CHARACTERIZATION OF DISTRIBUTIONS BY RELATIONSHIPS BETWEEN FAILURE RATE AND MEAN RESIDUAL LIFE [J].
RUIZ, JM ;
NAVARRO, J .
IEEE TRANSACTIONS ON RELIABILITY, 1994, 43 (04) :640-644
[26]  
Sarhan A.M., 2009, Applied Sciences, V11, P123, DOI DOI 10.1016/j.apm.2016.01.033
[27]   Exponentiated modified Weibull extension distribution [J].
Sarhan, Ammar M. ;
Apaloo, Joseph .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2013, 112 :137-144
[28]   The log-normal modified Weibull distribution and its reliability implications [J].
Shakhatreh, Mohammed K. ;
Lemonte, Artur J. ;
Moreno Arenas, German .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 188 :6-22
[29]   The beta modified Weibull distribution [J].
Silva, Giovana O. ;
Ortega, Edwin M. M. ;
Cordeiro, Gauss M. .
LIFETIME DATA ANALYSIS, 2010, 16 (03) :409-430
[30]  
Sylwia K. B., 2007, COMPUT METHODS SCI T, V13, P113, DOI [10.12921/cmst.2007.13.02.113-120, DOI 10.12921/CMST.2007.13.02.113-120]