Irregularity Detection In Numerical Signal Using Time-Frequency Analysis
A typical time signal contain overwhelming amounts of data and some of the signal components represent for irregularity such as crack and leak which greatly important to be identified precisely instead of using traditional method. The strategy can be done using signal processing method through high-...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network (ARPN)
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/15432/1/fkm-2016-fairusham-Irregularity%20Detection%20In%20Numerical%20Signal1.pdf |
| _version_ | 1796991732693336064 |
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| author | A., Malik Hamat M. F., Ghazali Makeen, Mohd Amin Fatihah, Adnan |
| author_facet | A., Malik Hamat M. F., Ghazali Makeen, Mohd Amin Fatihah, Adnan |
| author_sort | A., Malik Hamat |
| collection | UMP |
| description | A typical time signal contain overwhelming amounts of data and some of the signal components represent for irregularity such as crack and leak which greatly important to be identified precisely instead of using traditional method. The strategy can be done using signal processing method through high-quality time-frequency representation (TFR) for analysing such time dependent signals to accurately discover these superposition signal components. A few popular TFR methods such as wavelet transform analysis and relatively new, synchrosqueezed wavelet transform were applied in current study using artificial signal. From the result, both methods successfully discover an irregularity in the signal with different degree of accuracy and it is shown that synchrosqueezed wavelet transform provide the best and detailed timefrequency
representation. |
| first_indexed | 2024-03-06T12:09:47Z |
| format | Article |
| id | UMPir15432 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:09:47Z |
| publishDate | 2016 |
| publisher | Asian Research Publishing Network (ARPN) |
| record_format | dspace |
| spelling | UMPir154322017-08-23T04:15:08Z http://umpir.ump.edu.my/id/eprint/15432/ Irregularity Detection In Numerical Signal Using Time-Frequency Analysis A., Malik Hamat M. F., Ghazali Makeen, Mohd Amin Fatihah, Adnan TJ Mechanical engineering and machinery A typical time signal contain overwhelming amounts of data and some of the signal components represent for irregularity such as crack and leak which greatly important to be identified precisely instead of using traditional method. The strategy can be done using signal processing method through high-quality time-frequency representation (TFR) for analysing such time dependent signals to accurately discover these superposition signal components. A few popular TFR methods such as wavelet transform analysis and relatively new, synchrosqueezed wavelet transform were applied in current study using artificial signal. From the result, both methods successfully discover an irregularity in the signal with different degree of accuracy and it is shown that synchrosqueezed wavelet transform provide the best and detailed timefrequency representation. Asian Research Publishing Network (ARPN) 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15432/1/fkm-2016-fairusham-Irregularity%20Detection%20In%20Numerical%20Signal1.pdf A., Malik Hamat and M. F., Ghazali and Makeen, Mohd Amin and Fatihah, Adnan (2016) Irregularity Detection In Numerical Signal Using Time-Frequency Analysis. ARPN Journal of Engineering and Applied Sciences, 11 (6). pp. 3593-3597. ISSN 1819-6608. (Published) http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3850.pdf |
| spellingShingle | TJ Mechanical engineering and machinery A., Malik Hamat M. F., Ghazali Makeen, Mohd Amin Fatihah, Adnan Irregularity Detection In Numerical Signal Using Time-Frequency Analysis |
| title | Irregularity Detection In Numerical Signal Using Time-Frequency Analysis |
| title_full | Irregularity Detection In Numerical Signal Using Time-Frequency Analysis |
| title_fullStr | Irregularity Detection In Numerical Signal Using Time-Frequency Analysis |
| title_full_unstemmed | Irregularity Detection In Numerical Signal Using Time-Frequency Analysis |
| title_short | Irregularity Detection In Numerical Signal Using Time-Frequency Analysis |
| title_sort | irregularity detection in numerical signal using time frequency analysis |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/15432/1/fkm-2016-fairusham-Irregularity%20Detection%20In%20Numerical%20Signal1.pdf |
| work_keys_str_mv | AT amalikhamat irregularitydetectioninnumericalsignalusingtimefrequencyanalysis AT mfghazali irregularitydetectioninnumericalsignalusingtimefrequencyanalysis AT makeenmohdamin irregularitydetectioninnumericalsignalusingtimefrequencyanalysis AT fatihahadnan irregularitydetectioninnumericalsignalusingtimefrequencyanalysis |