Design of Fault Diagnostic and Optimization System through Data Analysis from Industrial Perspective
Saraswathi.S1, Deivasigamni.C2

1Saraswathi.S, Assistant Professor, Student, Department of Computer Science and Application, India.
2Deivasigamni.C, Sri Krishna Arts and Science College, Kuniyamuthur Coimbatore (Tamil Nadu), India.
Manuscript received on 04 May 2019 | Revised Manuscript received on 16 May 2019 | Manuscript Published on 23 May 2019 | PP: 513-516 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F10900476S519/2019©BEIESP
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Abstract: The economic growth of the country depends on the effective supply to the demanded need of the people to lead normal life. Among the variety of influencing industries, energy industries plays vital role which serves the needs of human in all aspects like consuming energy for using electronic devices, mode of transport in terms of different categories of vehicles etc. The study focuses on the impact of rapid growth of fuel demand due to the increase in the habit of vehicle usage. The need emerges to design an intelligent system that predicts the diagnostic aspects of elements involved in the production process. The proposed work mainly focuses to design fault diagnostic and optimization system to enhance power plant efficiency through optimal design criteria. The outcome of the study is expected to reduce different categories of heat loss through internal and external factors.
Keywords: Energy, Knowledge, Optimal, Performance.
Scope of the Article: Data Analytics