The proposed special issue will cover an in-depth analysis of the recent developments in condition monitoring and fault diagnosis techniques used in industry for the protection of electrical drive systems such as motors, generators, and pumps. Due to the enormous electrical energy consumption, the reliability of electrical system operation in a harsh industrial environment has been a major requirement in many industrial applications. It is especially important where an unexpected breakdown might result in the interruption of critical services such as military operations, transportation, municipality, aviation, and medical applications. An unexpected breakdown of the electrical system might result in costly maintenance or loss of life in applications where the continuous process is needed and where downtime is not tolerable.

Although electrical systems are very dependable with a low failure rate and require only basic maintenance, still, they will breakdown and fail after some time. The unexpected breakdowns of the electrical systems cause a great deal of unacceptable production loss. It is unacceptable in applications that are vital for the industry, and consequently detecting initial failures and replacing damaged parts according to the schedule will prevent the problems of unexpected breakdowns of the machines. The prevention of unscheduled downtime for electrical drive systems has been the goal of every industry for a long time, as this would help in reducing the costs associated with maintenance.

The purpose of this Special Issue is to collate original research and review articles that present some of the recent developments, both theoretically and practically, in the condition monitoring of machines, drives, circuits, sensors, gears, bearings, and pumps using invasive and non-invasive techniques. The Special Issue is intended for researchers and practicing engineers with interest in condition monitoring and fault diagnostics. We welcome submissions with a focus on various issues related to machinery condition monitoring, machine system design, signal & image processing, instrumentation and measurement, new trends in condition monitoring, and particularly the fault identification process.

Potential topics include but are not limited to the following:

• Vibration analysis techniques for fault analysis
• Acoustic emission techniques for failure analysis
• Non-destructive testing
• Motor current signature analysis
• Application of signal processing & image processing techniques in machine fault diagnostics
• Application of artificial intelligence in machine fault classification
• Application of Internet of Things (IoT) in system design, system management, data security, and fault diagnostics
• Fault-tolerant control