Artificial intelligence applications are increasing due to advances in data collection systems,
algorithms, and affordability of computing power. Within the manufacturing industry, machine …

Recent trends like autonomous driving, natural language processing, service robotics or
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …

Fault diagnosis of various rotating equipment plays a significant role in industries as it
guarantees safety, reliability and prevents breakdown and loss of any source of energy …

The emergence of the Internet of Things (IoT), cloud computing, cyber-physical systems,
system integration, big data, and data analytics for Industry 4.0 have transformed the world …

The quality-control process in manufacturing must ensure the product is free of defects and
performs according to the customer's expectations. Maintaining the quality of a firm's …

The increase of productivity and decrease of production loss is an important goal for modern
industry to stay economically competitive. For that, efficient fault management and quick …

Increasing market demand towards higher product and process quality and efficiency forces
companies to think of new and innovative ways to optimize their production. In the area of …

Undetected and unpredicted faults in heavy industrial machines/equipment can lead to
unwanted failures. Therefore, prediction of faults puts paramount importance on maintaining …

Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

Various techniques are used to diagnose problems throughout all levels of the organization
within the manufacturing industry. Often times, this root cause analysis is ad-hoc with no …