Short duration disturbance classifying based on S-transform maximum similarity
The S-transformed module time–frequency matrix (MTFM) has been proved that it is an effective analyzing method to extract short duration disturbance characteristics. A new classification method of power quality disturbances comparing the standard S-transformed time–frequency matrix of ideal disturba...
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| Veröffentlicht in: | International journal of electrical power & energy systems 2009-09, Vol.31 (7), p.374-378 |
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| container_title | International journal of electrical power & energy systems |
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| creator | Xiao, Xianyong Xu, Fangwei Yang, Honggeng |
| description | The S-transformed module time–frequency matrix (MTFM) has been proved that it is an effective analyzing method to extract short duration disturbance characteristics. A new classification method of power quality disturbances comparing the standard S-transformed time–frequency matrix of ideal disturbances with the characteristics of tested disturbances was proposed in this paper. Based on the maximum similarity principle without any other classifier, the S-transformed results were directly used in the method. This scheme is superior with simple principium and low calculation cost. The simulation results show that the proposed method is effective in classifying short duration disturbances and with better noise proof ability. |
| doi_str_mv | 10.1016/j.ijepes.2009.03.006 |
| format | Article |
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Reliability</subject><subject>Power electronics, power supplies</subject><subject>Power networks and lines</subject><subject>Power quality</subject><subject>S-transform</subject><subject>Short duration disturbance</subject><issn>0142-0615</issn><issn>1879-3517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLxDAUhYMoOD7-gYtudNd682jabAQRXyC6GF2HNE00Qx9jbivOvzcy4lJXd3G-cy58hJxQKChQeb4qwsqtHRYMQBXACwC5Qxa0rlTOS1rtkgVQwXKQtNwnB4grAKiUYAvyuHwb45S1czRTGIesDTjNsTGDdZntDGLwmzC8Zo1B12YJWOZTNAP6MfZZbz5DP_cZhj50JoZpc0T2vOnQHf_cQ_Jyc_18dZc_PN3eX10-5Jareso9SKUaZmSrStW6ElwjrG0q1tRMGi_aFHMprfdMUuXBOspKz6UoGaO0pPyQnG1313F8nx1Oug9oXdeZwY0zai5qqAUX_4IMqpoxxhMotqCNI2J0Xq9j6E3caAr627Je6a1l_W1ZA9fJcqqd_uwbtKbzyY0N-NtltFKMS5W4iy3nkpWP4KJGG1yy3Ibo7KTbMfz96AvTmJUq</recordid><startdate>20090901</startdate><enddate>20090901</enddate><creator>Xiao, Xianyong</creator><creator>Xu, Fangwei</creator><creator>Yang, Honggeng</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20090901</creationdate><title>Short duration disturbance classifying based on S-transform maximum similarity</title><author>Xiao, Xianyong ; Xu, Fangwei ; Yang, Honggeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c398t-f0699b2a6d959de50eb4ccb72b826af4d699366cff2619f0ce125f36452211513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Applied sciences</topic><topic>Electrical engineering. 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| ispartof | International journal of electrical power & energy systems, 2009-09, Vol.31 (7), p.374-378 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Applied sciences Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Maximum similarity principle Operation. Load control. Reliability Power electronics, power supplies Power networks and lines Power quality S-transform Short duration disturbance |
| title | Short duration disturbance classifying based on S-transform maximum similarity |
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