Spark Plug Fault Recognition Based on Sensor Fusion and Classifier Combination using Dempster–Shafer Evidence Theory

• Main Authors: R., Mamat, Moosavian, Ashkan, Khazaee, Meghdad, G., Najafi, Kettner, Maurice
• Format: Article
• Language: English
• Published: Elsevier Ltd 2015
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/8803/1/fkm-2015-rizalman-Spark%20Plug%20Fault.pdf; http://umpir.ump.edu.my/id/eprint/8803/; http://dx.doi.org/10.1016/j.apacoust.2015.01.008
• Institution: Universiti Malaysia Pahang

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...