Roller element bearing acoustic fault detection using smartphone and consumer microphones comparing with vibration techniques J Grebenik, Y Zhang, C Bingham, S Srivastava 2016 17th International Conference on Mechatronics-Mechatronika (ME), 1-7, 2016 | 40 | 2016 |
Acoustic diagnostics of electrical origin fault modes with readily available consumer‐grade sensors J Grebenik, C Bingham, S Srivastava IET Electric Power Applications 13 (12), 1946-1953, 2019 | 10 | 2019 |
Continuous acoustic monitoring of electrical machines; processing signals from usb microphone & mobile smartphone sensors detecting dc motor controller fault J Grebenik, C Bingham, S Srivastava 2018 5th International Conference on Control, Decision and Information …, 2018 | 3 | 2018 |
Acoustic Condition Monitoring & Fault Diagnostics for Industrial Systems J Grebenik University of Lincoln, 2020 | | 2020 |
Towards acoustic condition monitoring for detection and characterisation of laser-induced breakdown in a gas turbine laser ignition system J Griffiths, J Grebenik, A Kirk International Journal of Condition Monitoring 8 (2), 37-41, 2018 | | 2018 |
Continuous Acoustic Monitoring of Electrical Machines: Processing Signals from USB Microphone & Mobile Smartphone Sensors Detecting DC Motor Controller Fault C Bingham, J Grebenik, S Srivastava University of Lincoln, 2018 | | 2018 |
Noise Robust Acoustic Signal Processing Using a Wavelet Packet Decomposition Approach for Detection and Characterization of Laser Induced Breakdown J Grebenik, JD Griffiths, A Kirk University of Lincoln, 2017 | | 2017 |
Noise Robust Acoustic Signal Processing Using a Wavelet Packet Decomposition Approach for Detection and Characterization of Laser Induced Breakdown J Griffiths, J Grebenik, A Kirk Laser Ignition Conference, LThA3. 2, 2017 | | 2017 |
Roller element bearing acoustic fault detection using smartphone and consumer microphones C Bingham, J Grebenik, S Srivastava, Y Zhang University of Lincoln, 2016 | | 2016 |