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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