Title : Studies on machine learning models for misfire detection and vehicle condition monitoring: a low cost approach

Type of Material: Thesis
Title: Studies on machine learning models for misfire detection and vehicle condition monitoring: a low cost approach
Researcher: Babu Devasenapati, S
Guide: Ramachandran
Department: Amrita School of Engineering
Publisher: Amrita Vishwa Vidyapeetham (University)
Place: Coimbatore
Year: July, 2012
Language: English
Subject: Mechanical engineering
Vehicle condition monitoring
Dissertation/Thesis Note: PhD
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_256959
040__|aAVVP_641112|dIN-AhILN
041__|aeng
100__|aBabu Devasenapati, S|eResearcher
110__|aAmrita School of Engineering|bAmrita Vishwa Vidyapeetham (University)|dCoimbatore
245__|aStudies on machine learning models for misfire detection and vehicle condition monitoring: a low cost approach
260__|aCoimbatore|bAmrita Vishwa Vidyapeetham (University)|cJuly, 2012
502__|bPhD
518__|oDate of Notification|d2012-07
520__|aThe rapid growth of transportation systems mostly using internal combustion (IC) engines has led to a wide range of environmental challenges, demanding immediate attention. Misfire in spark ignition IC engine is a major factor leading to undetected emis
653__|aMechanical engineering
653__|aVehicle condition monitoring
700__|aRamachandran|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/5705|yShodhganga
905__|anotification

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