| Failure monitoring and predictive maintenance of hydraulic cylinder—State-of-the-art review VV Shanbhag, TJJ Meyer, LW Caspers, R Schlanbusch IEEE/ASME Transactions on Mechatronics 26 (6), 3087-3103, 2021 | 52 | 2021 |
| Investigating galling wear behaviour in sheet metal stamping using acoustic emissions VV Shanbhag, BF Rolfe, N Arunachalam, MP Pereira Wear 414, 31-42, 2018 | 41 | 2018 |
| Fabrication, surface morphology and corrosion investigation of Al 7075-Al2O3 matrix composite in sea water and industrial environment VV Shanbhag, NN Yalamoori, S Karthikeyan, R Ramanujam, ... Procedia Engineering 97, 607-613, 2014 | 37 | 2014 |
| Condition monitoring of hydraulic cylinder seals using acoustic emissions VV Shanbhag, TJJ Meyer, LW Caspers, R Schlanbusch The International Journal of Advanced Manufacturing Technology 109 (5), 1727 …, 2020 | 21 | 2020 |
| Investigation of Galling Wear Using Acoustic Emission Frequency Characteristics VV Shanbhag, BF Rolfe, MP Pereira Lubricants 8 (25), 2020 | 16 | 2020 |
| Understanding galling wear initiation and progression using force and acoustic emissions sensors VV Shanbhag, BF Rolfe, JM Griffin, N Arunachalam, MP Pereira Wear 436, 202991, 2019 | 16 | 2019 |
| Modelling for evaluation of surface roughness in magnetic abrasive finishing of flat surfaces VV Shanbhag, K Naveen, N Balashanmugam, P Vinod International Journal of Precision Technology 6 (2), 159-170, 2016 | 14 | 2016 |
| Defining acoustic emission-based condition monitoring indicators for monitoring piston rod seal and bearing wear in hydraulic cylinders VV Shanbhag, TJJ Meyer, LW Caspers, R Schlanbusch The International Journal of Advanced Manufacturing Technology 115 (9), 2729 …, 2021 | 10 | 2021 |
| Ultra-precision finishing by magnetic abrasive finishing process K Naveen, VV Shanbhag, N Balashanmugam, P Vinod Materials Today: Proceedings 5 (5), 12426-12436, 2018 | 10 | 2018 |
| Time series analysis of tool wear in sheet metal stamping using acoustic emission VV Shanbhag, PM Pereira, FB Rolfe, N Arunachalam Journal of physics: conference series 896 (1), 012030, 2017 | 10 | 2017 |
| Preparation, characterization and machinability of Al7075-Al2O3 matrix composite using multi layer coated carbide insert K Venkatesan, R Ramanujam, VV Shanbhag, NN Yalamoori, DVS Reddy Procedia Materials Science 5, 1819-1828, 2014 | 10 | 2014 |
| Acoustic emission-based condition monitoring and remaining useful life prediction of hydraulic cylinder rod seals JF Pedersen, R Schlanbusch, TJJ Meyer, LW Caspers, VV Shanbhag Sensors 21 (18), 6012, 2021 | 8 | 2021 |
| Application of machine learning for acoustic emissions waveform to classify galling wear on sheet metal stamping tools JM Griffin, VV Shanbhag, MP Pereira, BF Rolfe The International Journal of Advanced Manufacturing Technology 116 (1), 579-596, 2021 | 5 | 2021 |
| Investigation of Stamping Tool Wear Initiation at Microscopic Level Using Acoustic Emission Sensors VV Shanbhag, BF Rolfe, N Arunachalam, MP Pereira Key Engineering Materials 794, pp 285-294, 2019 | 5 | 2019 |
| Understanding the source of acoustic emission signals during the wear of stamping tools VV Shanbhag, BF Rolfe, N Arunachalam, MP Pereira IOP Conference Series: Materials Science and Engineering 418 (1), 012098, 2018 | 5 | 2018 |
| Automated and rapid seal wear classification based on acoustic emission and support vector machine ST Kandukuri, VV Shanbhag, TJJ Meyer, LW Caspers, NS Noori, ... PHM Society European Conference 6 (1), 8-8, 2021 | 3 | 2021 |
| INFLUENCE OF MQL APPLICATION ON SURFACE ROUGHNESS,CUTTING FORCE AND TOOL WEAR FOR MILLING OF MONEL 400 KP Akhil Soman, Vignesh Shanbhag, Sakthivel M International Journal of Mechanical And Production Engineering 3 (5), 119-123, 2015 | 3* | 2015 |
| Acoustic emission based condition monitoring study of piston rod seals by varying speed and pressure parameters VV Shanbhag, T Meyer, L Caspers, R Schlanbusch Annual Conference of the PHM Society 12 (1), 9-9, 2020 | 2 | 2020 |
| Modeling and squeal analysis of brake disc rotor using ANSYS V Shanbhag, V Singh, R Abhik, P Baskar International Journal of Mechanical Engineering and Robotics Research 3 (3), 180, 2014 | 2 | 2014 |
| Data driven seal wear classifications using acoustic emissions and Artificial Neural Networks N Noori, VV Shanbhag, ST Kandukuri, R Schlanbusch The Prognostics and Health Management Society (PHM Society), 2022 | 1 | 2022 |
