Classification of Refrigerant Flow Noise of Air Conditioners Based on Continuous Wavelet Transform and Support Vector Machine
This study proposes a classification method that uses the continuous wavelet transform and the support vector machine approach to classify refrigerant flow noises generated in an air conditioner. The air conditioning noise was identified as an abnormal signal by the use of the first- and second-orde...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/11/3959 |
| _version_ | 1797565929431760896 |
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| author | Un-Chang Jeong |
| author_facet | Un-Chang Jeong |
| author_sort | Un-Chang Jeong |
| collection | DOAJ |
| description | This study proposes a classification method that uses the continuous wavelet transform and the support vector machine approach to classify refrigerant flow noises generated in an air conditioner. The air conditioning noise was identified as an abnormal signal by the use of the first- and second-order moments. The start and end times of refrigerant flow noises were identified by detecting the singularities of the continuous wavelet transform coefficient in the time domain and by means of listening to the measured sounds. Further, the time-frequency characteristics of refrigerant flow noise were analyzed with the continuous wavelet transform. For the support vector machine-based classification of refrigerant flow noise in an air conditioner, the grid search method was used to determine kernel hyperparameters. Five-fold cross validation was employed for the application of the support vector machine to the classification of air conditioner refrigerant noise. In addition, measured sound sources were modified based on classified refrigerant flow noise to compare the classification accuracy of a jury test with the results of the support vector machine. |
| first_indexed | 2024-03-10T19:18:51Z |
| format | Article |
| id | doaj.art-5fc6de2318fe4aaf843e737620507ec3 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T19:18:51Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5fc6de2318fe4aaf843e737620507ec32023-11-20T03:06:23ZengMDPI AGApplied Sciences2076-34172020-06-011011395910.3390/app10113959Classification of Refrigerant Flow Noise of Air Conditioners Based on Continuous Wavelet Transform and Support Vector MachineUn-Chang Jeong0Department of Automotive Engineering, Honam University, Gwangsan-gu, Gwangju 62399, KoreaThis study proposes a classification method that uses the continuous wavelet transform and the support vector machine approach to classify refrigerant flow noises generated in an air conditioner. The air conditioning noise was identified as an abnormal signal by the use of the first- and second-order moments. The start and end times of refrigerant flow noises were identified by detecting the singularities of the continuous wavelet transform coefficient in the time domain and by means of listening to the measured sounds. Further, the time-frequency characteristics of refrigerant flow noise were analyzed with the continuous wavelet transform. For the support vector machine-based classification of refrigerant flow noise in an air conditioner, the grid search method was used to determine kernel hyperparameters. Five-fold cross validation was employed for the application of the support vector machine to the classification of air conditioner refrigerant noise. In addition, measured sound sources were modified based on classified refrigerant flow noise to compare the classification accuracy of a jury test with the results of the support vector machine.https://www.mdpi.com/2076-3417/10/11/3959refrigerant flow noisecontinuous wavelet transformsupport vector machineclassification |
| spellingShingle | Un-Chang Jeong Classification of Refrigerant Flow Noise of Air Conditioners Based on Continuous Wavelet Transform and Support Vector Machine Applied Sciences refrigerant flow noise continuous wavelet transform support vector machine classification |
| title | Classification of Refrigerant Flow Noise of Air Conditioners Based on Continuous Wavelet Transform and Support Vector Machine |
| title_full | Classification of Refrigerant Flow Noise of Air Conditioners Based on Continuous Wavelet Transform and Support Vector Machine |
| title_fullStr | Classification of Refrigerant Flow Noise of Air Conditioners Based on Continuous Wavelet Transform and Support Vector Machine |
| title_full_unstemmed | Classification of Refrigerant Flow Noise of Air Conditioners Based on Continuous Wavelet Transform and Support Vector Machine |
| title_short | Classification of Refrigerant Flow Noise of Air Conditioners Based on Continuous Wavelet Transform and Support Vector Machine |
| title_sort | classification of refrigerant flow noise of air conditioners based on continuous wavelet transform and support vector machine |
| topic | refrigerant flow noise continuous wavelet transform support vector machine classification |
| url | https://www.mdpi.com/2076-3417/10/11/3959 |
| work_keys_str_mv | AT unchangjeong classificationofrefrigerantflownoiseofairconditionersbasedoncontinuouswavelettransformandsupportvectormachine |