Systems Engineering of an On-Line Diagnostic System
Abstract
On-line diagnostic systems primarily use data acquisition systems and expert systems to implement the diagnostic reasoning of a human expert. But many technologies must be integrated for the development of a successful system. These technologies include: expert systems, data acquisition, and sensor validation, data communications, human/computer interfaces (HCI) and uncertainty management, and system integration testing. The success of the system will be diminished if any of these technologies, or tests of their implementation or integration, are not planned for from the beginning of the project. This paper reviews the lessons learned during the development and testing of the Air Compressor Diagnostic System.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1996
- Accession Number
- ADP010204
Entities
People
- Jeffrey S. Lin
Organizations
- Johns Hopkins University