Using Degradation Measures to Estimate a Time-to-Failure Distribution

Lu, C. Joseph; Meeker, William Q.

doi:10.2307/1269661

Cited by 457 publications

(266 citation statements)

References 0 publications

Supporting

Mentioning

263

Contrasting

Unclassified

Order By: Relevance

“…However in industrial applications, the main drawback of stochastic process-based models with random effects is the computation issue that can be complex and highly dependent of the choice of random parameters and their distribution. Generally, the assumption of normally distributed parameters is chosen [14]. The next section is dedicated to the study of a non-stationary formulation of the Wiener process that is used in the illustrative example at the end of this chapter.…”

Section: Stochastic Process-based Modelsmentioning

confidence: 99%

Updated Operational Reliability from Degradation Indicators and Adaptive Maintenance Strategy

Letot¹,

Equeter²,

Dutoit³

et al. 2017

System Reliability

View full text Add to dashboard Cite

This chapter is dedicated to the reliability and maintenance of assets that are characterized by a degradation process. The item state is related to a degradation mechanism that represents the unit-to-unit variability and time-varying dynamics of systems. The maintenance scheduling has to be updated considering the degradation history of each item. The research method relies on the updating process of the reliability of a specific asset. Given a degradation process and costs for preventive/corrective maintenance actions, an optimal inspection time is obtained. At this time, the degradation level is measured and a prediction of the degradation is conducted to obtain the next inspection time. A decision criterion is established to decide whether the maintenance action should take place at the current time or postpone. Consequently, there is an optimal number of inspections that allows to extend the useful life of an asset before performing the preventive maintenance action. A numerical case study involving a non-stationary Wiener-based degradation process is proposed as an illustration of the methodology. The results showed that the expected cost per unit of time considering the adaptive maintenance strategy is lower than the expected cost per unit of time obtained for other maintenance policies.

show abstract

Section: Stochastic Process-based Modelsmentioning

confidence: 99%

Updated Operational Reliability from Degradation Indicators and Adaptive Maintenance Strategy

Letot¹,

Equeter²,

Dutoit³

et al. 2017

System Reliability

View full text Add to dashboard Cite

show abstract

“…Some other researchers [9] identified the degradation of bearings by the relevance vector machine. Many engineering and technical personnel and statistical scholars attempted to analyse products' reliability based on performance degradation data and achieved success in theoretical research and engineering application according to [10] and [11]. Pan [12] applied gamma processes in reliability assessment based on the degradation data of products.…”

Section: Introductionmentioning

confidence: 99%

Reliability Assessment of Bearings Based on Performance Degradation Values under Small Samples

Qin¹,

Shen²,

Chen³

et al. 2017

SV-JME

View full text Add to dashboard Cite

“…In literature, a substantial number of degradation models have been developed to model the accelerated degradation data [10]. In general, these existing models can be divided into linear and nonlinear sciENcE aNd tEchNology models.…”

Section: Introductionmentioning

confidence: 99%