Crack detection and crack propagation through vibration monitoring in sugar mill roller shaft
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 6
Abstract
The effects of vibration in mill roller shaft during sugar cane crushing which is one of the crack possibility phenomena were analysed. Inducer tests under various unbalanced conditions performed to clarify the effect of mill roller shaft vibration. By using ANSYS software Dynamic analysis has been done for existing roller mill shaft. So, the natural frequency has obtained. By Fracture analysis the variations in natural frequency has concluded. Being different from other failure classification problems, this paper is concerned with determining the probability of normal condition based on current observations describing the condition of a mill roller shaft. Moreover, this problem can be translated to estimate the conditional probability of current observations given normal mill roller shaft condition using a Hidden Markov Model. From this point, a novel probabilistic health description index called Average Probability Index is proposed for mill roller shaft health evaluation. For automatic crack detection, a semi-dynamic threshold is presented to detect an early fault in a mill roller shaft. If the current API is lower than the corresponding threshold at the first time, we conclude that an incipient fault has occurred.
Authors and Affiliations
K Karthick
Keywords
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