This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statis...
Remaining useful life (RUL) prediction method based on degradation trajectory has been one of the mo...
In traditional reliability life testing and accelerated life testing, usally only the failure mode a...
In experiments where failure times are sparse, degradation analysis is useful for the analysis of fa...
[[abstract]]This book focuses on the statistical aspects of the analysis of degradation data. In rec...
[[abstract]]This book focuses on the statistical aspects of the analysis of degradation data. In rec...
Traditionally, reliability assessment of devices has been based on (accelerated) life tests. However...
Reliability characteristics of new devices are usually demonstrated by life testing. When lifetime d...
The paper considers degradation and failure time models with multiple failure modes which used to st...
With increasingly complex engineering assets and tight economic requirements, asset reliability beco...
International audienceThis paper studies the statistical inference in a degradation model with imper...
Reliability testing typically generates product lifetime data, but for some tests, covariate informa...
There has been considerable interest in quality and reliability improvement methods among researcher...
Statistical theory and its applications have played a significant role in the advancement of methodo...
We present a framework to model degradation on deteriorating systems, and to find easy-to- evaluate ...
Traditionally, the field of reliability has been concerned with failure time data. As a result, degr...
Remaining useful life (RUL) prediction method based on degradation trajectory has been one of the mo...
In traditional reliability life testing and accelerated life testing, usally only the failure mode a...
In experiments where failure times are sparse, degradation analysis is useful for the analysis of fa...
[[abstract]]This book focuses on the statistical aspects of the analysis of degradation data. In rec...
[[abstract]]This book focuses on the statistical aspects of the analysis of degradation data. In rec...
Traditionally, reliability assessment of devices has been based on (accelerated) life tests. However...
Reliability characteristics of new devices are usually demonstrated by life testing. When lifetime d...
The paper considers degradation and failure time models with multiple failure modes which used to st...
With increasingly complex engineering assets and tight economic requirements, asset reliability beco...
International audienceThis paper studies the statistical inference in a degradation model with imper...
Reliability testing typically generates product lifetime data, but for some tests, covariate informa...
There has been considerable interest in quality and reliability improvement methods among researcher...
Statistical theory and its applications have played a significant role in the advancement of methodo...
We present a framework to model degradation on deteriorating systems, and to find easy-to- evaluate ...
Traditionally, the field of reliability has been concerned with failure time data. As a result, degr...
Remaining useful life (RUL) prediction method based on degradation trajectory has been one of the mo...
In traditional reliability life testing and accelerated life testing, usally only the failure mode a...
In experiments where failure times are sparse, degradation analysis is useful for the analysis of fa...