초록 ▼

A pre-emptive maintenance system for performing maintenance and process assurance on run-critical equipment employs an intrinsic health monitor that includes a number of sensors that are used with an operating equipment or machine to generate a set of intrinsic physical signatures that are products

A pre-emptive maintenance system for performing maintenance and process assurance on run-critical equipment employs an intrinsic health monitor that includes a number of sensors that are used with an operating equipment or machine to generate a set of intrinsic physical signatures that are products of the primary performance characteristics of the operating equipment. These signatures are nonfunctional parametrics that are consistent and reliable indicators of the normal operation of the equipment and statistical norms are set during an initial learning mode using neural processors and the outputs from the sensors. Thereafter, the sensor outputs are monitored and analyzed using the statistical norms to predict the probabilities of future failures of the operating equipment. By using the intrinsic health monitor an advance in the field of equipment maintenance and process assurance is provided in the approach to maintenance being a pre-emptive procedure.

대표청구항 ▼

[ What is claimed is:] [1.] A system for providing future failure probability information for operating equipment, comprising:a plurality of sensors arranged proximate the operating equipment and including a primary intrinsic parameter sensor, a dependent operational load parameter sensor, a depende

[ What is claimed is:] [1.] A system for providing future failure probability information for operating equipment, comprising:a plurality of sensors arranged proximate the operating equipment and including a primary intrinsic parameter sensor, a dependent operational load parameter sensor, a dependent operational parameter sensor, and an independent operational parameter sensor;monitoring means located at a same location as the operating equipment and connected to receive data signals produced by said plurality of sensors and including a control processor operating an artificial intelligence algorithm for processing said data signals initially according to a learning procedure and subsequently according to a monitoring procedure whereby energy contents in discrete portions in the data signals produced by said plurality of sensors are evaluated and producing evaluation signals; andwork station means connected to receive said evaluation signals from said monitoring means and including a display for providing a visual display representing said evaluation signals.