Fan fault monitoring and diagnosis method based on online learning and multivariate state estimation

Fan fault monitoring and diagnosis method based on online learning and multivariate state estimation

The invention relates to a fan fault monitoring and diagnosis method based on online learning and multivariate state estimation. The fan fault monitoring and diagnosis method comprises the following steps: acquiring variable data related to a generator and having a sampling frequency of 5 minutes fr...

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Hauptverfasser: ZHOU HONGGUI, JIANG XIN, LUO RENQIANG, WEN WEN, CHEN ZHIDONG, LI TAO
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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creator ZHOU HONGGUI
JIANG XIN
LUO RENQIANG
WEN WEN
CHEN ZHIDONG
LI TAO
description The invention relates to a fan fault monitoring and diagnosis method based on online learning and multivariate state estimation. The fan fault monitoring and diagnosis method comprises the following steps: acquiring variable data related to a generator and having a sampling frequency of 5 minutes from a master control SCADA system as an original data set; preprocessing the data by a DBSCAN algorithm based on probability distribution and interval distribution, deleting abnormal samples and fault samples, and dividing a preprocessed data set into a training data set and a test data set; performing normalization operation on the training data set and the test data set; establishing an MSET-based model through an improved memory matrix construction method; carrying out fault early warning based on a self-adaptive similarity threshold value; and after abnormal early warning is triggered, an early warning result is pushed to a centralized control center. According to the method, the sample redundancy in the memory
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Fan fault monitoring and diagnosis method based on online learning and multivariate state estimation
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