Practical Methods for Optimizing Equipment Maintenance Strategies Using an Analytic Hierarchy Process and Prognostic Algorithms

TL;DR: In this paper, the authors present a case study of the case of the Western Reserve University of California, San Diego (WRSU) in the US.G．SALOMON博士

TL;DR: In this article, Goldberg and Vaccaro discuss the physics of failure in electronics and the role of failure detection in failure detection, and present a theoretical framework for failure detection. Pp vi + 255.

TL;DR: In this paper, the authors present a basic reliability model for failure distribution and a constant failure rate model for time-dependent failure models, as well as a design for maintainability.

TL;DR: An application of the Analytic Hierarchy Process (AHP) for selecting the best maintenance strategy for an important Italian oil refinery (an Integrated Gasification and Combined Cycle plant) is described.

TL;DR: In this article, a review of recent literature that focuses on the machine prognostics has been reviewed, which can be classified into four categories: physical model, knowledge-based model, data-driven model, and combination model.

TL;DR: In order to achieve world-class performance, more and more companies are replacing their reactive, fire-fighting strategies for maintenance with proactive strategies like preventive and predictive maintenance and aggressive strategies like total productive maintenance as discussed by the authors.