Patent AU-2021335237-A1 (AU)
Title: Method for detecting abnormality of automatic verification system of smart watt-hour meter based on transductive support vector machine (TSVM) model
Inventor: ZHUANG GEWEI
IPC: G01R22/06
Filed: 2021-12-27
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(54) Title: TSVM-MODEL-BASED ABNORMALITY DETECTION METHOD FOR AUTOMATIC VERIFICATION SYSTEM 
OF SMART ELECTRICITY METER 
(54)&RR)M : TTSVMM9ThYWitL$ALif 
S1 
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S2 
$Bt * 4 pS3 S1 Perform feature extraction on error 
experimental dataofaverification meter ~bIQLI f"It x _'ptTSVMnPj# position to betested that includes asmall 
amount of abnormal data, construct feature 
vectors, and perform pre-processing 
S2 Manually label some samples 
S3 Use labeled samples and unlabeled samples 
to obtain a TSVM-based abnormality detection 
S4 model by means of training in a semi
fl~ffATTSV n, supervised manner T J PT SVMMS4 Use theTSVM-based abnormality detection 
model to dynamically predict an abnormal 
state of the verification meter 
position 
(57) Abstract: A TSVM-model-based abnormality detection method for an automatic verification system of a smart electricity meter, 
enlthe method comprising the following steps: S1, performing feature extraction on error experimental data of a verification meter posi
tion to be tested that includes a small amount of abnormal data, constructing feature vectors, and performing pre-processing to form 
e data samples; S2, manually labeling some of the samples; S3, using labeled samples and unlabeled samples to obtain a TSVM-based 
abnormality detection model by means of training in a semi-supervised manner; and S4, using the TSVM-based abnormality detection
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model to dynamically predict an abnormal state of the verification meter position. The method has the advantages of being high in 
accuracy, achieving on-line detection and saving on detection costs.  
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