An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree
This paper describes an efficient method to automatize vibration diagnosis for rotating machinery using a decision tree, which is applicable to vibration diagnosis expert system. Decision tree is a widely known formalism for expressing classification knowledge and has been used successfully in many...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2000-01-01
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| Series: | International Journal of Rotating Machinery |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/S1023621X00000038 |
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| _version_ | 1832564168643837952 |
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| author | Bo Suk Yang Chul Hyun Park Ho Jong Kim |
| author_facet | Bo Suk Yang Chul Hyun Park Ho Jong Kim |
| author_sort | Bo Suk Yang |
| collection | DOAJ |
| description | This paper describes an efficient method to automatize vibration diagnosis for rotating machinery using a decision tree, which is applicable to vibration diagnosis expert system. Decision tree is a widely known formalism for expressing classification knowledge and has been used successfully in many diverse areas such as character recognition, medical diagnosis, and expert systems, etc. In order to build a decision tree for vibration diagnosis, we have to define classes and attributes. A set of cases based on past experiences is also needed. This training set is inducted using a result-cause matrix newly developed in the present work instead of using a conventionally implemented cause-result matrix. This method was applied to diagnostics for various cases taken from published work. It is found that the present method predicts causes of the abnormal vibration for test cases with high reliability. |
| format | Article |
| id | doaj-art-0b8d71eedb774e2c99ea6fa819ca8e7d |
| institution | Kabale University |
| issn | 1023-621X |
| language | English |
| publishDate | 2000-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Rotating Machinery |
| spelling | doaj-art-0b8d71eedb774e2c99ea6fa819ca8e7d2025-02-03T01:11:35ZengWileyInternational Journal of Rotating Machinery1023-621X2000-01-0161192710.1155/S1023621X00000038An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision TreeBo Suk Yang0Chul Hyun Park1Ho Jong Kim2School of Mechanical & Automotive Engineering, Pukyong National University, Pusan, KoreaResearch & Development Center, Korea Heavy Industries & Construction Co., Changwon, KoreaResearch & Development Center, Korea Heavy Industries & Construction Co., Changwon, KoreaThis paper describes an efficient method to automatize vibration diagnosis for rotating machinery using a decision tree, which is applicable to vibration diagnosis expert system. Decision tree is a widely known formalism for expressing classification knowledge and has been used successfully in many diverse areas such as character recognition, medical diagnosis, and expert systems, etc. In order to build a decision tree for vibration diagnosis, we have to define classes and attributes. A set of cases based on past experiences is also needed. This training set is inducted using a result-cause matrix newly developed in the present work instead of using a conventionally implemented cause-result matrix. This method was applied to diagnostics for various cases taken from published work. It is found that the present method predicts causes of the abnormal vibration for test cases with high reliability.http://dx.doi.org/10.1155/S1023621X00000038VibrationDiagnosticsExpert systemDecision treeRotating machinery. |
| spellingShingle | Bo Suk Yang Chul Hyun Park Ho Jong Kim An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree International Journal of Rotating Machinery Vibration Diagnostics Expert system Decision tree Rotating machinery. |
| title | An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree |
| title_full | An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree |
| title_fullStr | An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree |
| title_full_unstemmed | An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree |
| title_short | An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree |
| title_sort | efficient method of vibration diagnostics for rotating machinery using a decision tree |
| topic | Vibration Diagnostics Expert system Decision tree Rotating machinery. |
| url | http://dx.doi.org/10.1155/S1023621X00000038 |
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