Optimized ELM based on Whale Optimization Algorithm for gearbox diagnosis
Extreme learning machine (ELM) is a fast and quick learning algorithm with better generalization performance. However, the randomness of input weight and hidden layer bias may affect the overall performance of ELM. This paper proposed a new approach to determine the optimized values of input weight...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
|
| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201925502003 |
| _version_ | 1818657491291996160 |
|---|---|
| author | Isham M. Firdaus Leong M. Salman Lim M. H. Ahmad Z. A.B. |
| author_facet | Isham M. Firdaus Leong M. Salman Lim M. H. Ahmad Z. A.B. |
| author_sort | Isham M. Firdaus |
| collection | DOAJ |
| description | Extreme learning machine (ELM) is a fast and quick learning algorithm with better generalization performance. However, the randomness of input weight and hidden layer bias may affect the overall performance of ELM. This paper proposed a new approach to determine the optimized values of input weight and hidden layer bias for ELM using whale optimization algorithm (WOA), which we call WOA-ELM. An online gearbox vibration signals is used in this study. Empirical mode decomposition (EMD) and complementary mode decomposition (CEEMD) are used to decompose the signals into sub-signals known as intrinsic mode functions (IMFs). Then, statistical features are extracted from selected IMFs. WOA-ELM is used for classification of healthy and faulty condition of gearbox. The result shows that WOA-ELM provide better classification result as compared with conventional ELM. Therefore, this study provide a new diagnosis approach for gearbox application. |
| first_indexed | 2024-12-17T03:42:19Z |
| format | Article |
| id | doaj.art-804f0988611645ca868c0236aab7c307 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-17T03:42:19Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-804f0988611645ca868c0236aab7c3072022-12-21T22:04:59ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012550200310.1051/matecconf/201925502003matecconf_eaaic2018_02003Optimized ELM based on Whale Optimization Algorithm for gearbox diagnosisIsham M. FirdausLeong M. Salman0Lim M. H.1Ahmad Z. A.B.2Institute of Noise and VibrationInstitute of Noise and VibrationSekolah Kejuruteraan MekanikalExtreme learning machine (ELM) is a fast and quick learning algorithm with better generalization performance. However, the randomness of input weight and hidden layer bias may affect the overall performance of ELM. This paper proposed a new approach to determine the optimized values of input weight and hidden layer bias for ELM using whale optimization algorithm (WOA), which we call WOA-ELM. An online gearbox vibration signals is used in this study. Empirical mode decomposition (EMD) and complementary mode decomposition (CEEMD) are used to decompose the signals into sub-signals known as intrinsic mode functions (IMFs). Then, statistical features are extracted from selected IMFs. WOA-ELM is used for classification of healthy and faulty condition of gearbox. The result shows that WOA-ELM provide better classification result as compared with conventional ELM. Therefore, this study provide a new diagnosis approach for gearbox application.https://doi.org/10.1051/matecconf/201925502003 |
| spellingShingle | Isham M. Firdaus Leong M. Salman Lim M. H. Ahmad Z. A.B. Optimized ELM based on Whale Optimization Algorithm for gearbox diagnosis MATEC Web of Conferences |
| title | Optimized ELM based on Whale Optimization Algorithm for gearbox diagnosis |
| title_full | Optimized ELM based on Whale Optimization Algorithm for gearbox diagnosis |
| title_fullStr | Optimized ELM based on Whale Optimization Algorithm for gearbox diagnosis |
| title_full_unstemmed | Optimized ELM based on Whale Optimization Algorithm for gearbox diagnosis |
| title_short | Optimized ELM based on Whale Optimization Algorithm for gearbox diagnosis |
| title_sort | optimized elm based on whale optimization algorithm for gearbox diagnosis |
| url | https://doi.org/10.1051/matecconf/201925502003 |
| work_keys_str_mv | AT ishammfirdaus optimizedelmbasedonwhaleoptimizationalgorithmforgearboxdiagnosis AT leongmsalman optimizedelmbasedonwhaleoptimizationalgorithmforgearboxdiagnosis AT limmh optimizedelmbasedonwhaleoptimizationalgorithmforgearboxdiagnosis AT ahmadzab optimizedelmbasedonwhaleoptimizationalgorithmforgearboxdiagnosis |