Novel Approaches to Electrical Machine Fault Diagnosis: Volume II

Dear Colleagues,

Electrical machines play an important role in the industry, performing crucial tasks in production, propulsion, power generation, and numerous other industrial processes. Hence, condition monitoring and the prognosis and diagnosis of the faults threatening the smooth operation of the machines are of utmost importance, as they can lead to minimizing downtime, avoiding financial loss and the threat to human life. as well as preserving the environment.

There are many traditional diagnostic techniques in use and under investigation today, yet with the world and technology moving rapidly forward, new horizons are also opening in the diagnostic field. The possibility of using the Internet of Things, powerful Artificial Intelligence tools, virtual sensors, cloud computing, and all the different technological solutions classified as Industry 4.0 options, more advanced, complex, but at the same time more precise diagnostic techniques can be used. There is a great opportunity for novel diagnosis approaches for electrical machines to be introduced, and at the same time, old and previously not very promising techniques can find new life due to advanced IT solutions, providing more computational resources and faster calculation and simulation times.

As the use of electrical machines in the world is rising rapidly in all the sectors of life, novel approaches to electrical machine fault diagnosis can show the way towards a more efficient use and prolonged lifetime for machines and lead to the introduction of different intelligent technologies in engineering.

Dr. Toomas Vaimann
Prof. Dr. Anton Rassõlkin
Prof. Dr. Jose Alfonso Antonino-Daviu
Guest Editors

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