Quantum mechanics

Engineering

Reliability engineering

Joint (building)

Selection (genetic algorithm)

Power (physics)

Computer science

Physics

Preventive maintenance

Reliability (semiconductor)

Artificial intelligence

Structural engineering

Architectural engineering

Reliability Engineering & System Safety

To enhance system performance, corrective maintenance for failed components and preventive maintenance (PM) for operating components can be performed simultaneously on repairable systems. Due to limited budget, it is typically not practical to perform PM for all the operating system components. Moreover, different selections of components for PM can lead to significant differences in system performance improvements. This paper proposes an extended joint integrated importance measure (JIIM) to effectively guide the selection of PM components, aiming to maximize gains of the system performance. A multi-valued decision diagram (MDD) based method is then developed to evaluate the proposed JIIM for general repairable systems. The computational procedure of MDD and some properties of JIIM are illustrated with a numerical example of a system containing three components. A realistic application to the performance analysis of an aircraft warning system verifies the proposed method.

System performance-based joint importance analysis guided maintenance for repairable systems