Andrew Ball
Papers
5
Total Citations
50
H-Index
5
About
Andrew Ball is a leading researcher in the field of intelligent condition monitoring and predictive maintenance for advanced engineering systems. His primary research areas focus on the reliability of industrial collaborative robots and complex drivetrain components, particularly epicyclic gearboxes. Dr. Ball’s major contributions include pioneering the use of advanced signal processing techniques, such as the Modulation Signal Bispectrum Enhanced Squared Envelope, to detect and diagnose compound faults in epicyclic gears—a critical capability for ensuring the safety and productivity of systems in aerospace, wind energy, and industrial robotics. He has been at the forefront of integrating artificial intelligence and digital twin technologies into condition monitoring, developing hybrid schemes that can detect anomalies and adapt to trajectory changes in collaborative robots. His work on sound source localization for monitoring robots and his foundational study on tyre contact patch influence on vehicle braking demonstrate a broad engineering expertise. With his most-cited paper accumulating 22 citations and several recent high-impact publications, Dr. Ball is shaping the future of smart manufacturing and industrial reliability.
Research Focus
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Top Papers
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