Predictive Analytics for Proactive Maintenance in Industrial IoT Applications

Author:

Mabel Rani A. Jaya1,Yasotha B.2,P Sevanthi3,Karthika K.4,Jeevanantham Y.Alexander5,Pandi V.Samuthira6

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Chennai,Tamil Nadu,India

2. SRM Institute of Science and Technology,Department of Data Science and Business Systems,Kattankulathur,Chennai,Tamil Nadu,India

3. S.A.Engineering College (Autonomous) Thiruverkadu,Department of Artificial Intelligence and Data Science,Chennai,Tamil Nadu,India

4. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Civil Engineering,Chennai,Tamilnadu,India

5. RMK Engineering College Kavarapettai,Department of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

6. Centre for Advanced Wireless Integrated Technology(CAWit),Chennai Institute of Technology,Chennai,Tamil Nadu,India

Publisher

IEEE

Reference15 articles.

1. Fault Detection and Diagnosis Using Combined Autoencoder and Long Short-Term Memory Network

2. Outage Prediction and Diagnosis for Cloud Service Systems

3. Gandalf: An intelligent end-to-end analytics service for safe deployment in large-scale cloud infrastructure;Li

4. FUNNEL: Assessing Software Changes in Web-Based Services

5. Making disk failure predictions smarter!;Lu

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