Guest Editors
Dr. Cherry Bhargava, Lovely Professional University, India.
Dr. Pardeep Kumar Sharma, Lovely Professional University, India.
Dr. Rajkumar Bhimgonda Patil, Annasaheb Dange College of Engineering and Technology, India.
Dr. Mohamed Arezki Mellal, M’Hamed Bougara University, Algeria.
Dr. Sameer Al-Dahidi, German Jordanian University, Jordan.
Summary
The fourth industrial revolution, known as Industry 4.0, has digitally transformed the traditional manufacturing and industry practices. To predict the equipment failures and streamline the production process, the data analytics has been identified as a significant component, that provides valuable insights to manage the operations of machines and processes well, which further requires data processing with advanced tools and technologies. The predictive & proactive maintenance, early warning detection and residual lifetime estimations optimizes the timing for intervention. The industrial processes from maintaining machines to managing supply chains, can be optimized and transformed smarter by capturing and analysing data more intelligently.
This special issue is seeking high-quality research articles as well as reviews about state-of-the-art technologies in industry 4.0. The main focus of this special session will also be to address the challenges and opportunities related to Industrial IOT, Smart manufacturing, Intelligent robotics, Big data analytics and Machine learning. The intelligent modelling for the data analysis and residual life prediction is also targeted in this special issue.
Keywords
· Accelerated Life Testing
· Big Data Analytics
· Biomedical
· Cloud Computing
· Cognitive Computing
· Cyber Physical Systems
· Data Mining and Predictive Analysis
· Industrial Internet of Things (IIOT)
· Machine Learning
· Power Electronics
· Quality Estimation
· Reliability Analysis
· Robotics and Automation
· Smart Manufacturing
· VLSI Circuits and Systems
Published Papers
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