AUTOMATED FAULT DETECTION AND DIAGNOSTICS IN A BUILDING MANAGEMENT SYSTEM

Patent №

US 9,606,520

Granted

2017-03-28

Filed 2012

Owner

JOHNSON CONTROLS TECHNOLOGY COMPANY

Lab

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13439779

Systems and methods for automated fault detection in a building management system are shown and described. The systems and methods further involve organizing the data set into bins, each bin containing a plurality of the observed points for the variable of the building management system. The systems and methods further involve calculating, for each bin, a target parameter and an estimator of scale for the observed points. The systems and methods further involve detecting, for each bin, an outlier of the building management system by comparing a data point of the bin to the calculated target parameter and estimator of scale for the bin.

Machine learningKnowledge representationPlanningG05B 15/02G05B 23/0235H02J 13/00002H02J 13/00016H02J 13/12H02J 13/1321G05B 2219/2642G06F 30/13+13 more

AI classification

Planning1.00
Machine learning0.99
Knowledge representation0.96
Vision0.04
AI hardware0.03
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

JOHNSON CONTROLS TECHNOLOGY COMPANY

assignment · 280130507

Assignors

NOBOA, HOMERO L., DREES, KIRK H., WENZEL, MICHAEL

On an employer assignment, the assignors are typically the inventors.

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