Accession Number:

ADA276909

Title:

Application of Expert Systems for Diagnosing Equipment Failures at Central Energy Plants

Descriptive Note:

Final rept.

Corporate Author:

CONSTRUCTION ENGINEERING RESEARCH LAB (ARMY) CHAMPAIGN IL ENERGY AND UTILITIES SYSTEMS DIV

Report Date:

1993-12-01

Pagination or Media Count:

77.0

Abstract:

The growing cost of operating and maintaining its central heating plants CHPs has forced the Army to seek alternatives to traditional methods of running these facilities. Computer technology offers the potential to automate and assist in many tasks, such as in the diagnosis of equipment malfunctions and failures in Army CHPs. An automated diagnostic tool for heating plant equipment could lower the cost of human labor by freeing personnel for higher priority work. Automatic diagnosis of problems could also reduce downtime for repair, promote thermal efficiency, and improve on-line reliability. Researchers at the U.S. Army Construction Engineering Research Laboratories USACERL investigated the application of artificial intelligence AI using knowledge-based expert systems to the monitoring and diagnosing of CHP boiler operations. A prototype system MAD was developed to Monitor And Diagnose boiler failure or identify inefficient operation, and recommend action to optimize combustion efficiency. The system includes a knowledge base containing rules for diagnosing the condition of major package boiler components. Minimum system requirements for MAD are an IBM-compatible AT-class personal computer PC with 640K base memory and 1 megabyte extended memory, 1.5 megabytes of free hard drive space, a color graphics adaptor CGA, and DOS 3.0 or higher.

Subject Categories:

  • Non-electrical Energy Conversion
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE