RANDOM FOREST BASED MISFIRE DETECTION USING KONONENKO DISCRETISER

RANDOM FOREST BASED MISFIRE DETECTION USING KONONENKO DISCRETISER

This paper evaluates the use of random forest (RF) as a tool for misfire detection using statistical features. The engine block vibration contains hidden information about the events occurring inside the engine. Misfire detection was achieved by processing the vibration signals acquired from the eng...

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Bibliographic Details
Main Authors: S. Babu Devasenapati, K.I. Ramachandran
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2012-01-01
Series:ICTACT Journal on Soft Computing
Subjects:
Engine Condition Monitoring
Misfire Detection
Random Forest
Engine Combustion
Recursive Entropy Discretisation
IC Engine
Online Access:http://ictactjournals.in/paper/ijsc_vol2_iss_2_2012_2_paper_270to275.pdf

Internet

http://ictactjournals.in/paper/ijsc_vol2_iss_2_2012_2_paper_270to275.pdf

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