This paper proposes a reliability estimation method based on Step-Stress Accelerated Degradation Testing (SSADT) data analysis using unequal interval time series analysis. A Multi-Regression Time Varying Auto-Regressive (MRTVAR) degradation time series model is proposed. Product SSADT data are treated as unequal interval composite time series and described using MRTVAR time series model and utilized to predict long-term trend of degradation. By using the suggested method, product reliability is obtained. An example is presented as a verification of the modeling technique and estimation method. A reasonable estimation of lifetime and reliability of the product is obtained by employing the present method. DOI: http://dx.doi.org/10.11591/telko...
High reliability systems generally require individual system components having extremely high reliab...
Accelerated life tests are used to obtain quickly information about the failure time distribution of...
Thesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufactur...
Reliability estimation of highly reliable components, subsystems and systems has become very difficu...
International audienceIn the absence of enough run-to-failure data, step-stress accelerated degradat...
Abstract—This paper proposes a new Accelerated Degradation Testing (ADT) life prediction method util...
Step-stress accelerated degradation testing (SSADT) has been used by many researchers for the reliab...
[[abstract]]Collecting accelerated degradation test (ADT) data can provide useful lifetime informati...
This dissertation presents a statistical model and analysis procedure for product performance aging ...
According to the different performance degradation paths, reliability curves and parameters of each ...
Accelerated degradation testing (ADT) is an efficient tool to conduct material service reliability a...
The accelerated degradation test methods have proven to be a very effective approach to quickly eval...
[[abstract]]Reliability is an important attribute of a product's quality. Hence, assessing a product...
AbstractThis paper presents a life prediction method to predict Degradation Amount Distribution (DAD...
Abstract Triple modular redundancy (TMR) is a robust technique utilized in safety-critical applicati...
High reliability systems generally require individual system components having extremely high reliab...
Accelerated life tests are used to obtain quickly information about the failure time distribution of...
Thesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufactur...
Reliability estimation of highly reliable components, subsystems and systems has become very difficu...
International audienceIn the absence of enough run-to-failure data, step-stress accelerated degradat...
Abstract—This paper proposes a new Accelerated Degradation Testing (ADT) life prediction method util...
Step-stress accelerated degradation testing (SSADT) has been used by many researchers for the reliab...
[[abstract]]Collecting accelerated degradation test (ADT) data can provide useful lifetime informati...
This dissertation presents a statistical model and analysis procedure for product performance aging ...
According to the different performance degradation paths, reliability curves and parameters of each ...
Accelerated degradation testing (ADT) is an efficient tool to conduct material service reliability a...
The accelerated degradation test methods have proven to be a very effective approach to quickly eval...
[[abstract]]Reliability is an important attribute of a product's quality. Hence, assessing a product...
AbstractThis paper presents a life prediction method to predict Degradation Amount Distribution (DAD...
Abstract Triple modular redundancy (TMR) is a robust technique utilized in safety-critical applicati...
High reliability systems generally require individual system components having extremely high reliab...
Accelerated life tests are used to obtain quickly information about the failure time distribution of...
Thesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufactur...