Monitoring by Use of Clusters of Sensor-Data Vectors
TBMG-2485
12/01/2007
- Content
The inductive monitoring system (IMS) is a system of computer hardware and software for automated monitoring of the performance, operational condition, physical integrity, and other aspects of the "health" of a complex engineering system (e.g., an industrial process line or a spacecraft). The input to the IMS consists of streams of digitized readings from sensors in the monitored system. The IMS determines the type and amount of any deviation of the monitored system from a nominal or normal ("healthy") condition on the basis of a comparison between (1) vectors constructed from the incoming sensor data and (2) corresponding vectors in a database of nominal or normal behavior. The term "inductive" reflects the use of a process reminiscent of traditional mathematical induction to "learn" about normal operation and build the nominal-condition database. The IMS offers two major advantages over prior computational monitoring systems: The computational burden of the IMS is significantly smaller, and there is no need for abnormal-condition sensor data for training the IMS to recognize abnormal conditions.
- Citation
- "Monitoring by Use of Clusters of Sensor-Data Vectors," Mobility Engineering, December 1, 2007.