A Reference Stack for PHM Architectures

Abstract

This paper suggests a reference model for PHM processes that aids the customer of PHM in developing a business case for adopting PHM in his or her supply chain. Various PHM systems have been envisioned and developed in order to produce a prognosis of system or component behavior by collecting physical data from some section of a system, analyzing it and reporting the results to the entity that benefits from it, notably the supply chain that manages the components and receives the resulting cost benefit from PHM. All these systems have varying configurations that involve the collection of different types of data in different ways, the analysis of varying types of physical behavior and have different types of customers (different supply chain configurations). The customer needs to include the cost and complexity of the PHM system in his or her business model but has no formal standard to determine bounds on the complexity of the PHM system. Just as there are reference stacks for service-oriented architectures, this paper proposes a functional stack for PHM that can become a reference architecture for developing or purchasing a PHM system for an organization. The stack of PHM services ranges from the data acquisition layer through analysis functions to supply chain decision support services.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 02, 2014
Accession Number
AD1002745

Entities

People

  • Charles Crabb

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Biomedical
  • Cyber
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Aircraft Equipment
  • Aircrafts
  • Commerce
  • Computing System Architectures
  • Cross Domain
  • Data Acquisition
  • Data Analysis
  • Failure Mode And Effect Analysis
  • Information Systems
  • Logistics
  • Organizational Structure
  • Reliability
  • Software Development
  • Standards
  • Supply Chain
  • Supply Chain Management

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Logistics and Supply Chain Management.
  • Oncology and Biomarker-Based Cancer Detection.