This paper is the first part of a two-part series on an integrated machine performance
monitoring and fault diagnostics system. The entire project represents substantial
research and development efforts taking place at The University of Iowa. The objective
of the project was to develop a system with the following capabilities: 1) on-line machine
monitoring, 2) rapid and robust machine fault diagnostics, 3) detection of multiple faults,
and 4) fusion of multiple sensory inputs. It is believed that this integrated machine
monitoring and fault diagnostics system will provide a solid foundation for rational
predictive maintenance.
This paper discusses the theoretical foundation of those technologies
adopted/developed for on-line performance monitoring of machine tools. It also explains
the implementation procedures of those technologies. In order for the readers to better
understand how the on-line machine monitoring system operates, a simple sample
session is provided.
