S. Kalyani*, A. Mary Sowjanya, K. Venkat Rao
Journal on Internet of Things, Vol.3, No.1, pp. 27-38, 2021, DOI:DOI:10.32604/jiot.2021.013163
- 16 March 2021
Abstract Increased smart devices in various industries are creating numerous
sensors in each of the equipment prompting the need for methods and models for
sensor data. Current research proposes a systematic approach to analyze the data
generated from sensors attached to industrial equipment. The methodology
involves data cleaning, preprocessing, basics statistics, outlier, and anomaly
detection. Present study presents the prediction of RUL by using various
Machine Learning models like Regression, Polynomial Regression, Random
Forest, Decision Tree, XG Boost. Hyper Parameter Optimization is performed to
find the optimal parameters for each variable. In each of the model More >
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