Methods and Apparatuses for Detecting Faults in HVAC Systems Based on Load Level Patterns

Patent №

US 11,269,320

Granted

2022-03-08

Filed 2017

Owner

ENCYCLE CORPORATION

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15484666

Methods and systems are described for detecting a wide variety of fault conditions in a HVAC system based on analysis of current and historical energy consumption patterns, and on comparison with energy consumption patterns of other similarly situated RTUs. Energy consumption comparisons are preferably made in regard to a normalized load ratio or NLR or more preferably to a daily maximum normalized load ratio or MDNLR, which provide more robust and reliable bases for comparison of faulty and fault-free RTUs, and hence for generalized fault detection, than other previously known metrics or criteria.

Machine learningG05B 23/0235F24F 11/30F24F 11/38G05B 15/02F24F 11/32G05B 2219/24033G05B 2219/2614G06Q 50/06

AI classification

Machine learning0.84
Planning0.38
Vision0.00
Knowledge representation0.00
AI hardware0.00
Natural language0.00
Speech0.00
Evolutionary computation0.00

Ownership

ENCYCLE CORPORATION

assignment · 425090787

Assignors

KERBEL, MARK, MALCOLM, PETER

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

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