A Bayesian Approach for Parameter Estimation of Ball Bearing Failure Data

2020 ◽  
pp. 49-72
Author(s):  
Jitendra Kumar ◽  
Srikant Gupta ◽  
Sachin Chaudhary
Keyword(s):  
Parameter Estimation ◽  
Bayesian Approach ◽  
Ball Bearing ◽  
Bearing Failure ◽  
Failure Data

A Bayesian approach for parameter estimation in multi-stage models

2018 ◽  
Vol 48 (10) ◽  
pp. 2459-2482 ◽  
Author(s):  
Hoa Pham ◽  
Darfiana Nur ◽  
Huong T. T. Pham ◽  
Alan Branford
Keyword(s):  
Parameter Estimation ◽  
Bayesian Approach ◽  
Stage Models ◽  
Multi Stage

Application of the Average Rank Time Method in Parameter Estimation for Fixed-Time Censoring Experiment

2014 ◽  
Vol 556-562 ◽  
pp. 4146-4150
Author(s):  
Shu Meng ◽  
Gui Xiang Shen ◽  
Ying Zhi Zhang ◽  
Shu Guang Sun ◽  
Qi Song
Keyword(s):  
Parameter Estimation ◽  
Likelihood Function ◽  
Fixed Time ◽  
Model Optimization ◽  
Application Process ◽  
Index Method ◽  
Average Rank ◽  
Failure Data ◽  
Two Parameters ◽  
Mutually Independent

In this paper, the parameter estimation problem of products which are mutually independent and whose life belongs to two parameters Weibull distribution in fixed-time censoring experiment is discussed. And the rank of failure data is corrected by average rank time method, when the censoring experiments appeared. It is found that the method not only achieves the same effect for likelihood function theory, but also has the characters of high precision, simple process, no programming calculation, when model optimization is done by correlation index method. Finally, take field test data of a machine tool as an example to introduce the specific application process of this method, in order to verify the effectiveness and practical applicability.

Parameter estimation of general regression neural network using Bayesian approach

2016 ◽  
Author(s):  
Achmad Syahrul Choir ◽  
Rindang Bangun Prasetyo ◽  
Brodjol Sutijo Suprih Ulama ◽  
Nur Iriawan ◽  
Kartika Fitriasari ◽  
...  
Keyword(s):  
Neural Network ◽  
Parameter Estimation ◽  
Bayesian Approach ◽  
General Regression Neural Network ◽  
General Regression

A Bayesian Approach to Parameter Estimation in the Presence of Spatial Missing Data

2015 ◽  
Vol 11 (2) ◽  
pp. 201-218 ◽  
Author(s):  
Domenica Panzera ◽  
Roberto Benedetti ◽  
Paolo Postiglione
Keyword(s):  
Parameter Estimation ◽  
Missing Data ◽  
Bayesian Approach
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