Analysis of joint multiple failure mode and linear degradation data with renewals

被引：19

作者：

Bagdonavicius, V.

Bikelis, A.

Kazakevicius, V.

Nikulin, Mikhail

机构：

[1] Univ Bordeaux 2, F-33076 Bordeaux, France

[2] Vilnius State Univ, Dept Math Stat, Vilnius, Lithuania

[3] VA Steklov Math Inst, St Petersburg 191011, Russia

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 2007年 / 137卷 / 07期

关键词：

competing risks; degradation; joint model; non-parametric estimation; renewals; PROPORTIONAL HAZARDS MODEL; TIME DATA; ESTIMATOR;

D O I：

10.1016/j.jspi.2006.07.002

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Non-parametric estimators of various competing modes intensities and failure probabilities from linear degradation-failure time data with partial renewals are given. Decompositions of counting processes associated with degradation and failure moments are obtained. Some of these decompositions imply estimation procedures. Others are used to obtain asymptotic properties of estimators. Conditions for the uniform consistency of the estimators are given. The limit law of the estimators is obtained. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：2191 / 2207

页数：17

共 50 条

[21] Degradation mode and criticality analysis based on product usage data
Shin, Jong-Ho
Jun, Hong-Bae
Catteneo, Cedric
Kiritsis, Dimitris
Xirouchakis, Paul
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 78 (9-12): : 1727 - 1742
[22] Degradation mode and criticality analysis based on product usage data
Jong-Ho Shin
Hong-Bae Jun
Cedric Catteneo
Dimitris Kiritsis
Paul Xirouchakis
The International Journal of Advanced Manufacturing Technology, 2015, 78 : 1727 - 1742
[23] Joint analysis of multivariate failure time data with latent variables
Pan, Deng
Song, Xinyuan
Pan, Junhao
STATISTICAL METHODS IN MEDICAL RESEARCH, 2022, 31 (07) : 1292 - 1312
[24] A failure-mechanism-and-data integrated system degradation analysis
Hao, Zhipeng
Zeng, Shengkui
Guo, Jianbin
2015 61ST ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2015), 2015,
[25] A joint model for longitudinal measurements and survival data in the presence of multiple failure types
Elashoff, Robert M.
Li, Gang
Li, Ning
BIOMETRICS, 2008, 64 (03) : 762 - 771
[26] On the Log-Linear Analysis of Multiple Response Data
Decarlo T.E.
Laczniak R.N.
Azevedo K.A.
Ramaswami S.N.
Marketing Letters, 2000, 11 (4) : 349 - 361
[27] Multiple failure mode and effects analysis -: An approach to risk assessment of multiple failures with FMEA
Pickard, K
Müller, P
Bertsche, B
ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2005 PROCEEDINGS, 2005, : 457 - 462
[28] Failure Mode & Effect Analysis for Improving Data Veracity and Validity
Herrera, Ana Elsa Hinojosa
Walshaw, Chris
Bailey, Chris
Yin, Chunyan
2019 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRONICS & COMMUNICATIONS ENGINEERING (ICCECE), 2019, : 100 - 105
[29] Degradation- and failure mode analysis of III-V nitride devices
Tharian, Joy
IPFA 2007: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON THE PHYSICAL & FAILURE ANALYSIS OF INTEGRATED CIRCUITS, 2007, : 284 - 287
[30] MULTIPLE-MODE NON-LINEAR ANALYSIS OF CIRCULAR PLATES
SATHYAMOORTHY, M
PRASAD, ME
JOURNAL OF ENGINEERING MECHANICS, 1983, 109 (04) : 1114 - 1123

← 1 2 3 4 5 →