Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …

Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts
significant attention in professional manufacturing. This trend originates from the rising …

Electrical machines are prone to various faults and require constant monitoring to ensure
safe and dependable functioning. A potential fault in electrical machinery results in …

Induction motors are becoming crucial components in numerous industries. The daily usage
of induction motors creates the demand for proper maintenance and slight fault detection to …

The advent of digitization has brought about new technologies that enable advanced
condition monitoring and fault diagnosis under the Industry 4.0 paradigm. While vibration …

Abstract The application of Machine Learning methodologies has been particularly
noteworthy and abundant in pattern and symptom recognition across various research …

Nowadays, electrical machines and drive systems are playing an essential role in different
applications. Eventually, various failures occur in long-term continuous operation. Due to the …

This article reviews and analyzes the approaches utilized for monitoring cutting tool
conditions. The Research focuses on publications from 2012 to 2022 (10 years), in which …

Due to their efficiency and control capabilities, induction motors fed with inverters have
become prevalent in various industrial applications. However, ensuring the reliable …

This comprehensive review aims to achieve and develop an automated platform to acquire
and process data for error compensation in CNC manufacturing. The Industrial Internet of …