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Method and Apparatus for adjusting thresholds based on equipment's failure pattern for intelligent alerting and feedback to manufacturer

IP.com Disclosure Number: IPCOM000237214D
Publication Date: 2014-Jun-09
Document File: 2 page(s) / 22K

Publishing Venue

The IP.com Prior Art Database

Abstract

A system and method for adjusting thresholds based on equipment failure pattern for intelligent alerting and feedback to manufacturer is disclosed.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

Page 01 of 2

Method and Apparatus for adjusting thresholds based on equipment 's failure pattern for intelligent alerting and feedback to manufacturer

Disclosed is a system and method for adjusting thresholds based on equipment failure pattern for intelligent alerting and feedback to manufacturer.

Generally when the thresholds are set for metrics for condition monitoring of an equipment, the criteria used is from past experience, which most of the time lacks precision and accuracy. This may cause false alerts. False alerts may create invalid work orders, which are costly to business. As new equipment put in place, its expected behavior may be non-optimally performance initially with its performance increasing over time. Typical specifications would indicate the average performance of an asset and not reflect the performance curve over time. This means that when one leverages manufacturing specs to gauge the performance of their equipment, that method will not reflect the true expected performance. This might drive additional unnecessary maintenance or cause a removal of the equipment from service because it appears to be performing suboptimally.

If instead, manufacturers published the expected behavior curve for the equipment, analytics could map the expected performance over time to the actual performance measured. Instead of a fixed pattern of behavior, the more accurate and detailed performance expectation can be mapped.

These performance expectations can be made available via web services on a manufactures website for example. The program can then read this input and apply necessarily adjustments to thresholds. Also as the condition of the equipment deviates from the pattern, the information is shared with the manufacturer, so the best practices can be shared as well as adding to the knowledge base of the product behavior.

The disclosed method show how the alerts and work orders can be more accurate and precise to detect equipment failure. The equipment operator and manufacturer work together in near real-time for equipment reliability and to improved and extended equipment life by exchanging information for precise condition monitoring.

The Manufacturer of an Equipment publishes...