Machinery Fault Diagnosis Using Two-Channel Analysis Method Based on Fictitious System Frequency Response Function
Most existing techniques for machinery health monitoring that utilize measured vibration signals usually require measurement points to be as close as possible to the expected fault components of interest. This is particularly important for implementing condition-based maintenance since the incipient...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/561238 |
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| _version_ | 1832553531814445056 |
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| author | Kihong Shin Sang-Heon Lee |
| author_facet | Kihong Shin Sang-Heon Lee |
| author_sort | Kihong Shin |
| collection | DOAJ |
| description | Most existing techniques for machinery health monitoring that utilize measured vibration signals usually require measurement points to be as close as possible to the expected fault components of interest. This is particularly important for implementing condition-based maintenance since the incipient fault signal power may be too small to be detected if a sensor is located further away from the fault source. However, a measurement sensor is often not attached to the ideal point due to geometric or environmental restrictions. In such a case, many of the conventional diagnostic techniques may not be successfully applicable. In this paper, a two-channel analysis method is proposed to overcome such difficulty. It uses two vibration signals simultaneously measured at arbitrary points in a machine. The proposed method is described theoretically by introducing a fictitious system frequency response function. It is then verified experimentally for bearing fault detection. The results show that the suggested method may be a good alternative when ideal points for measurement sensors are not readily available. |
| format | Article |
| id | doaj-art-36916972428244e3951bbc1212586454 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-36916972428244e3951bbc12125864542025-02-03T05:53:42ZengWileyShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/561238561238Machinery Fault Diagnosis Using Two-Channel Analysis Method Based on Fictitious System Frequency Response FunctionKihong Shin0Sang-Heon Lee1Department of Mechanical & Automotive Engineering, Andong National University, 388 Songcheon-Dong, Andong 760-749, Republic of KoreaDepartment of Mechanical Design, Andong National University, 388 Songcheon-Dong, Andong 760-749, Republic of KoreaMost existing techniques for machinery health monitoring that utilize measured vibration signals usually require measurement points to be as close as possible to the expected fault components of interest. This is particularly important for implementing condition-based maintenance since the incipient fault signal power may be too small to be detected if a sensor is located further away from the fault source. However, a measurement sensor is often not attached to the ideal point due to geometric or environmental restrictions. In such a case, many of the conventional diagnostic techniques may not be successfully applicable. In this paper, a two-channel analysis method is proposed to overcome such difficulty. It uses two vibration signals simultaneously measured at arbitrary points in a machine. The proposed method is described theoretically by introducing a fictitious system frequency response function. It is then verified experimentally for bearing fault detection. The results show that the suggested method may be a good alternative when ideal points for measurement sensors are not readily available.http://dx.doi.org/10.1155/2015/561238 |
| spellingShingle | Kihong Shin Sang-Heon Lee Machinery Fault Diagnosis Using Two-Channel Analysis Method Based on Fictitious System Frequency Response Function Shock and Vibration |
| title | Machinery Fault Diagnosis Using Two-Channel Analysis Method Based on Fictitious System Frequency Response Function |
| title_full | Machinery Fault Diagnosis Using Two-Channel Analysis Method Based on Fictitious System Frequency Response Function |
| title_fullStr | Machinery Fault Diagnosis Using Two-Channel Analysis Method Based on Fictitious System Frequency Response Function |
| title_full_unstemmed | Machinery Fault Diagnosis Using Two-Channel Analysis Method Based on Fictitious System Frequency Response Function |
| title_short | Machinery Fault Diagnosis Using Two-Channel Analysis Method Based on Fictitious System Frequency Response Function |
| title_sort | machinery fault diagnosis using two channel analysis method based on fictitious system frequency response function |
| url | http://dx.doi.org/10.1155/2015/561238 |
| work_keys_str_mv | AT kihongshin machineryfaultdiagnosisusingtwochannelanalysismethodbasedonfictitioussystemfrequencyresponsefunction AT sangheonlee machineryfaultdiagnosisusingtwochannelanalysismethodbasedonfictitioussystemfrequencyresponsefunction |