Accession Number:

ADP013512

Title:

Intelligent Sensor Modes Enable a New Generation of Machinery Diagnostics and Prognostics

Descriptive Note:

Conference paper

Corporate Author:

ROCKWELL AUTOMATION CLEVELAND OH

Report Date:

2001-04-05

Pagination or Media Count:

10.0

Abstract:

Compelling economic, competitive, and technological factors are changing the way many companies view machinery maintenance, repair, and overhaul MRO activities. This shift toward a new Maintenance Management Paradigm has implications in many areas of the business including manufacturing scheduling, control, finance, inventory, quality. and asset management. Implementation of the new Maintenance Management Paradigm will require three fundamental building blocks. First, is a framework that enables the efficient re-use of best-in-class diagnostic and prognostic software, hardware, and sensor modules. An open-system architecture will be fundamental to meeting this objective. Second, is the ability to rapidly deploy needed hardware and software elements in a reliable and cost-effective manner across distributed system components. Wireless, intelligent sensor nodes will play an important role in the deployment of future systems. And third, is the infrastructure and that will permit system level integration of an ensemble of distributed intelligent system elements to develop actionable diagnostic and prognostic information. Higher-level diagnostic and prognostic information will drive critical decision making to insure maximum system reliability, lowest operating cost, maximum revenue generation or mission success for example. This paper provides specific examples of elements in the areas of Framework, Distributed Intelligent Modules, and Infrastructure for system-level integration.

Subject Categories:

  • Cybernetics
  • Machinery and Tools

Distribution Statement:

APPROVED FOR PUBLIC RELEASE