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The Value of Enterprise Data Integration and Trending Analysis Results for an Effective Equipment Reliability Program

[+] Author Affiliations
Evan Niemkiewicz

Insert Key Solutions, Inc.

Walter Walejeski

Diagnostic Technologies & Assoc., Inc.

Paper No. IMECE2005-82408, pp. 1387-1392; 6 pages
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Manufacturing Engineering and Materials Handling, Parts A and B
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Manufacturing Engineering Division and Materials Handling Division
  • ISBN: 0-7918-4223-1 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by ASME


In the power industry, many companies are trying to improve Equipment Reliability by focusing on Performance Monitoring and the application of diagnostic technologies. Software tools are focused on performing detailed technical analysis and trending of diagnostic parameters. The diagnostic data is often stored in archival databases that can track this data for many years. However, the analysis results generated by engineering and maintenance personnel are often stored outside the diagnostic tools in various databases, spreadsheets, and word documents. This valuable information is then difficult to track, trend, and then recall when a similar event occurs in the future. The paper will focus on developed and implemented web-based tools that facilitate tracking, trending, and sharing these analysis results across sites and enterprises. This paper further discusses implementation details and demonstrates the value of incorporating this information seamlessly into existing as well as developing condition monitoring programs.

Copyright © 2005 by ASME



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