ENBIS-22 Trondheim Conference

Session

CONTRIBUTED Reliability 1

28 Jun 2022, 10:10

EL1

Conveners

CONTRIBUTED Reliability 1

• Nikolaus Haselgruber (CIS Consulting in Industrial Statistics GmbH)

85. A first look at optimal maintenance plans via reinforcment learning

Antonio Pievatolo (CNR-IMATI)

28/06/2022, 10:10

Reliability

The availability of real-time data from processes and systems has shifted the focus of maintenance from preventive to condition-based and predictive maintenance. There is a very wide variety of maintenance policies depending on the system type, the available data and the policy selection method. Recently, reinforcment learning has been suggested as an approach to maintenance planning. We...

89. Non-parametric Data-based Maintenance Optimization Using Machine Learning Algorithms

HASAN MISAII (University of TEHRAN and University of Technology of TROYES)

28/06/2022, 10:30

Reliability

In this paper, a multi-component series system is considered. The system is periodically inspected, where at inspection times the failed components are replaced by a new one. Therefore, this maintenance action is perfect corrective maintenance for the failed component, and it can be considered as imperfect corrective maintenance for the system. The inspection interval is considered as a...

51. Modeling of repairable systems using Poisson processes and their extensions. Application to reliability analysis of wind turbine data.

Bo Henry Lindqvist (Norwegian University of Science and Technology)

28/06/2022, 10:50

Reliability

Reliability of repairable systems are commonly analyzed with the use of simple Poisson processes. Using data for operation of wind turbines as motivation and illustration, we show, step by step, how certain extensions of such a model can increase its usefulness as both a realistic and easily interpretable mathematical model. In particular, standard regression modeling may for example account...