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Proceedings ArticleDOI

Benefits of IVHM: an analytical approach

Z. Williams
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TLDR
In this paper, a discrete event simulation can be applied to assess the first order requirements for integrated vehicle health management (IVHM) implementation on systems and an example of a performance improvement illustrated from a simulation run using notional system and scenario data.
Abstract
Support requirements and health management are significant operational drivers on large military weapons systems and large commercial aircraft. The integration of health management into the up-front design of these systems should include a detailed benefit analysis that includes all of the benefactors of operational performance that a truly integrated health management system can bring. These benefactors are the Original Equipment Manufacturers (OEMs), the mission operators, command/control elements, fleet management, and maintenance operations. Each of these functional areas has unique processes that can be identified and measured. The performance improvement on a system can be evaluated before design dollars are ever committed or contracts signed. By identifying the processes, measures of effectiveness (MOE), and input drivers, a discrete event simulation can be applied to assess the first order requirements for Integrated Vehicle Health Management (IVHM) implementation on systems. Some of the basic input approaches are discussed, as well as an example of a performance improvement illustrated from a simulation run using notional system and scenario data. This type of analysis enables a larger business case to be developed to aid designers and planners in their decisions of how to implement IVHM. This paper describes some of the initial approaches to modeling the above problems as part of the on going effort to develop a simulation to assess IVHM.

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Citations
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Journal ArticleDOI

IoT-Based Prognostics and Systems Health Management for Industrial Applications

TL;DR: From this review, a number of challenges that result from the rapid adoption of IoT-based PHM are identified and include appropriate analytics, security, IoT platforms, sensor energy harvesting, IoT business models, and licensing approaches.
Journal ArticleDOI

State-of-the-art in integrated vehicle health management

TL;DR: The article describes the IVHM concept and its evolution, discusses configurations and existing applications along with main drivers, potential benefits and barriers to adoption, summarizes design guidelines and available methods, and identifies future research challenges.
Journal ArticleDOI

An ontology based text mining system for knowledge discovery from the diagnosis data in the automotive domain

TL;DR: This paper proposes a novel ontology-based text mining system, which uses the diagnosis ontology for annotating key terms recorded in the repair verbatim such that the best-practice repair actions used to fix commonly observed symptoms associated with the faulty parts can be discovered.
Journal ArticleDOI

A review of Integrated Vehicle Health Management tools for legacy platforms: Challenges and opportunities

TL;DR: In this paper, the state of the art of integrated vehicle health management (IVHM) tools and how their characteristics match the requirements of legacy aircraft, a summary of problems faced in the past trying to retrofit IVHM tools both from a technical and organisational perspective and the current level of implementation of IVHM in industry.
Journal ArticleDOI

Modelling condition-based maintenance to deliver a service to machine tool users.

TL;DR: In this paper, the authors describe the development and validation of two software tools to explore the relationship between prognostics and health management (PHM) technologies and servitization in the machine tool industry.
References
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Book

Logistics engineering and management

TL;DR: In this article, the authors introduce the concept of reliability, maintainability, and availability measures of Logistics and System Support, and present a system design review checklist and a Supplier Evaluation Checklist.