Spark Plug Fault Recognition Based on Sensor Fusion and Classifier Combination using Dempster–Shafer Evidence Theory
A proper intelligent approach was developed for fault diagnosis of spark plug in an IC engine based on acoustic and vibration signals using sensor fusion and classifier combination. Wavelet de-nosing technique was used for removing the signal noises. ANN and LS-SVM were employed in classification st...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/8803/ http://umpir.ump.edu.my/id/eprint/8803/ http://umpir.ump.edu.my/id/eprint/8803/ http://umpir.ump.edu.my/id/eprint/8803/1/fkm-2015-rizalman-Spark%20Plug%20Fault.pdf |