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Results 11-20 of 29 (Search time: 0.004 seconds).

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Issue Date	Title	Author(s)	Supervisor(s)
2017	Engine gearbox fault diagnosis using empirical mode decomposition method and Na ve Bayes algorithm	Vernekar, K.; Kumar, H.; Gangadharan, K.V.	-
2017	Condition monitoring of roller bearing by K-star classifier and K-nearest neighborhood classifier using sound signal	Sharma, R.K.; Sugumaran, V.; Kumar, H.; Amarnath, M.	-
2017	Vertical dynamic analysis of a quarter car suspension system with MR damper	Hemanth, K.; Kumar, H.; Gangadharan, K.V.	-
2018	Engine gearbox fault diagnosis using machine learning approach	Vernekar, K.; Kumar, H.; Gangadharan, K.V.	-
2019	Semi-active vibration control of SiC-reinforced Al6082 metal matrix composite sandwich beam with magnetorheological fluid core	Allien, J.V.; Kumar, H.; Desai, V.	-
2016	Fault diagnosis studies of face milling cutter using machine learning approach	Madhusudana, C.K.; Budati, S.; Gangadhar, N.; Kumar, H.; Narendranath, S.	-
2013	Fault diagnosis of helical gear box using decision tree through vibration signals	Sugumaran, V.; Jain, D.; Amarnath, M.; Kumar, H.	-
2016	Fault diagnosis of bearings through sound signal using statistical features and bayes classifier	Kumar, H.; Sugumaran, V.; Amarnath, M.	-
2018	Use of discrete wavelet features and support vector machine for fault diagnosis of face milling tool	Madhusudana, C.K.; Gangadhar, N.; Kumar, H.; Narendranath, S.	-
2017	Fault diagnosis of single point cutting tool through discrete wavelet features of vibration signals using decision tree technique and multilayer perceptron	Gangadhar, N.; Vernekar, K.; Kumar, H.; Narendranath, S.	-