SYSTEM FOR MONITORING NON-COINCIDENT, NONSTATIONARY PROCESS SIGNALS

Patent №

US 6,839,655

Granted

2005-01-04

Filed 2001

Owner

UNIVERSITY OF CHICAGO

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09865953

An improved system for monitoring non-coincident, non-stationary, process signals. The mean, variance, and length of a reference signal is defined by an automated system, followed by the identification of the leading and falling edges of a monitored signal and the length of the monitored signal. The monitored signal is compared to the reference signal, and the monitored signal is resampled in accordance with the reference signal. The reference signal is then correlated with the resampled monitored signal such that the reference signal and the resampled monitored signal are coincident in time with each other. The resampled monitored signal is then compared to the reference signal to determine whether the resampled monitored signal is within a set of predesignated operating conditions.

PlanningG05B 19/41805G05B 2219/40554Y02P 90/02

AI classification

Planning1.00
Knowledge representation0.17
Vision0.03
Machine learning0.02
Evolutionary computation0.01
Speech0.00
AI hardware0.00
Natural language0.00

Ownership

UNIVERSITY OF CHICAGO

assignment · 124510880

From the same owner

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