Fusion method of metering equipment reliability assessment based on degradation information and failure data

2015 ◽  
Author(s):  
Xuan Liu ◽  
Yan Liu ◽  
Xiuting Liu
Keyword(s):  
Reliability Assessment ◽  
Fusion Method ◽  
Failure Data ◽  
Equipment Reliability

Reliability Assessment for Telecommunication Channel of Electric Power System Using AHP

2014 ◽  
Vol 644-650 ◽  
pp. 4052-4060
Author(s):  
Cheng Zhi Bian ◽  
Bo Wang ◽  
Fei Tang ◽  
Yu Xi Chen ◽  
Jun Jia ◽  
...  
Keyword(s):  
Power System ◽  
Electric Power ◽  
Reliability Assessment ◽  
Past Research ◽  
Electric Power System ◽  
Failure Data ◽  
Equipment Reliability ◽  
Modification Factor ◽  
Actual Operation ◽  
Hierarchy Process

The reliability assessment is a key function that should be performed in advance of any security deployment. Since the reliability of electric power communication channel is influenced by many factors, modification factor set for telecommunication channel of electric power system is needed. According to past research, the confidence for equipment reliability would decline caused by the lack of failure data. Therefore, the paper modified each initial index calculated only by the failure data to obtain the reliability. Comprehensive modification factor is obtained according to the weight of each index calculated with Hierarchy Process whose computing standard is the importance of the modification factor in the actual operation. Finally, an instance communication network of power control system is modeling to test the validity of reliability assessment. The result supports the usefulness of the reliability assessment.

DOM Products: Activation Energy Estimation and Reliability Assessment

2013 ◽  
Vol 470 ◽  
pp. 781-784 ◽  
Author(s):  
Chien Yi Huang ◽  
Yueh Hsun Lin ◽  
Eric Huang
Keyword(s):  
Experimental Data ◽  
Activation Energy ◽  
Subjective Experience ◽  
Reliability Assessment ◽  
Life Time ◽  
Service Condition ◽  
Energy Estimation ◽  
Failure Data ◽  
Scientific Approach ◽  
Temperature Scenario

A scientific approach is proposed in this research to investigate a disk on module (DOM) product's activation energy based on experimental data that eliminates subjective experience. This study considers multiple temperature conditions to enhance the accuracy of activation energy estimation. In order to ensure the consistency of failure mode in each temperature scenario, the slopes of Weibul probability plots obtained from the failure data are calculated followed by an examination for parallelism. The estimated life time under normal service condition differs from the results obtained using the industrial standard given activation energy by approximately 42%.

Model Selection Methods for Reliability Assessment Based on Interval-Censored Field Failure Samples

2020 ◽  
Vol 27 (06) ◽  
pp. 2050018
Author(s):  
Tzong-Ru Tsai ◽  
Sih-Hua Wu ◽  
Yan Shen
Keyword(s):  
Model Selection ◽  
High Speed ◽  
Reliability Assessment ◽  
Lifetime Distribution ◽  
Maximum Likelihood Estimates ◽  
Selection Procedures ◽  
Failure Data ◽  
Proposed Model ◽  
Interval Censored ◽  
Field Failure

Incomplete field failure data from automated production are often applied for evaluating the system reliability. But the evaluation could be impacted by the uncertainty of the product’s lifetime distribution, which is usually predetermined but may be misspecified. In this paper, we assume that the system lifetime distribution follows a location-scale family with several candidates instead of a certain distribution. Two model selection procedures are proposed to assign the most likely candidate distribution from a pool of the location-scale distributions based on interval-censored field failure samples. The maximum likelihood estimates (MLE) of parameters of the candidate distribution are estimated by using the Newton–Raphson method and the MLE of a quartile is assigned as the reliability measure for assessing the reliability of systems. To illustrate the applications of the proposed model selection procedures, an example of high-speed motor with interval-censored field failure data is given. Monte Carlo simulations are carried out to evaluate the performance of the proposed model selection procedures. Simulation results show that the proposed methods are efficient for model identification and can provide reliable reliability assessment.

Reliability assessment of high-quality and long-life products based on zero-failure data

2018 ◽  
Vol 35 (1) ◽  
pp. 470-482 ◽  
Author(s):  
Haiyang Li ◽  
Liyang Xie ◽  
Ming Li ◽  
Jungang Ren ◽  
Bingfeng Zhao ◽  
...  
Keyword(s):  
Reliability Assessment ◽  
High Quality ◽  
Failure Data ◽  
Long Life

Highly Reliable Software Reliability Assessment Based on Statistics of Extremes and Bootstrapping Method

2014 ◽  
Vol 670-671 ◽  
pp. 1477-1481
Author(s):  
Hao Nan Tong ◽  
Qiu Ying Li
Keyword(s):  
Software Reliability ◽  
Reliability Assessment ◽  
Time To Failure ◽  
Reliability Engineering ◽  
Statistics Of Extremes ◽  
Failure Data ◽  
Distribution Parameters ◽  
Extreme Distribution ◽  
Reliable Software ◽  
Bootstrapping Method

Reliability assessment of Highly Reliable Software is significant in the software reliability engineering because of the small-size failure data. A novel model based on bootstrapping method and statistics of extremes for highly reliable software reliability assessment was presented. Correlation coefficient method was applied in order to determine the extreme distribution pattern to which the failure data belongs. The bootstrapping method based on residual error was used to estimate the parent distribution parameters. Software reliability and mean-time-to-failure (MTTF) at the end of reliability test were assessed. Experimental results show the model has a higher accuracy in the small-size sample situation. The validity of the proposed method is examined.

Research on the Comprehensive Reliability Assessment Process for Products

2012 ◽  
Vol 628 ◽  
pp. 372-379
Author(s):  
Wen Jin Zhang ◽  
Nan Lan
Keyword(s):  
Life Cycle ◽  
Model Selection ◽  
Evaluation Model ◽  
Reliability Assessment ◽  
Assessment Process ◽  
Engineering Practice ◽  
Preliminary Screening ◽  
Reliability Design ◽  
Failure Data ◽  
Comprehensive Reliability

For problems, such as evaluation model selection is not appropriate and accuracy of the assessed value is low, exist in the reliability assessment of mechanical and electrical product, we propose a comprehensive reliability assessment process for mechanical and electrical products. In this paper, we discuss methods of reliability data collection and collation first. Then, criteria of preliminary screening for failure data are established. Furthermore, considering that life cycle of product is characterized by varied environment and varied population, it gives the method and steps for reliability assessment of produces. In addition, the process is used in the reliability assessment of products, and the calculation result illustrates that the process can be successfully applied to engineering practice. The process proposed in this paper provides a technical means for model selection in reliability assessment of mechanical and electrical product, and serves as the theoretical guidance for reliability validation and reliability design of product.

scholarly journals Reliability assessment of cutting tools based on zero-failure data

2020 ◽  
Author(s):  
Bin Yang ◽  
Kai Guo ◽  
Bin Feng ◽  
Chang'an Zhou ◽  
Chao Sun ◽  
...  
Keyword(s):  
Weibull Distribution ◽  
Titanium Alloys ◽  
Weighted Least Squares ◽  
Cutting Tools ◽  
Reliability Assessment ◽  
Assessment Model ◽  
Machining Process ◽  
Distribution Model ◽  
Failure Data ◽  
Monolithic Components

Abstract Titanium alloys are widely utilized in aeronautical monolithic components due to their excellent mechanical properties. However, the low machinability of titanium alloys results in an uncertain lifetime of cutting tools. Reliability assessment on cutting tools has become more and more significant to the effectiveness and stability of machining systems. Considering that cutting tools are often replaced well before the end of their useful lifetime to avoid failures and thus few tools failure data can be obtained during the machining process of titanium alloys, a reliability assessment model based on zero-failure data is developed to evaluate the reliability of cutting tools. A Weibull distribution model is chosen to describe the life distribution of cutting tools for reliability evaluation. Matching distribution curve method and weighted least squares method are used to estimate the distribution parameters. A novel approach using hierarchical Bayesian method for estimating the prior distribution of failure probability with zero-failure data is proposed by combining the characteristics of Weibull distribution and Incomplete Beta distribution. Reliability analysis for cutting tools with zero-failure data is performed using the proposed method. By comparing with the experience of experts and adopting stochastic simulation, the results of point estimation show plausibility of the proposed approach.

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