| Profiling and trending of coriolis meter secondary process value drift due to ambient temperature fluctuations G Lindsay, J Hay, N Glen, S Shariatipour Flow Measurement and Instrumentation 59, 225-232, 2018 | 18 | 2018 |
| Coriolis meter density errors induced by ambient air and fluid temperature differentials G Lindsay, N Glen, J Hay, S Shariatipour, M Henry Flow Measurement and Instrumentation 73, 101754, 2020 | 12 | 2020 |
| Reducing Costs Through Digitisation and Condition Based Monitoring G Lindsay, B Nobakht, C Marshall SPE Offshore Europe 2019, 2019 | 4 | 2019 |
| Detecting and correcting for Coriolis meter calculated fluid density drift due to ambient temperature variation G Lindsay, N Glen, S Shariatipour, M Henry, S Churchill 36th International North Sea Flow Measurement Workshop, 2018 | 4 | 2018 |
| The application of synthetic data generation and data-driven modelling in the development of a fraud detection system for fuel bunkering Y Liang, B Nobakht, G Lindsay Measurement: Sensors 18, 100225, 2021 | 3 | 2021 |
| Coriolis Density Error-Targeting Ambient Temperature Fluctuation and the Development of a New Temperature Compensation Model G Lindsay North Sea Flow Measurement Workshop, 2019 | 2 | 2019 |
| Detecting and Correcting Calculated Fluid Density Errors in Coriolis Meters Due to Ambient Air Temperature Changes G Lindsay Coventry University in collaboration with TÜV SÜD National Engineering …, 2020 | 1 | 2020 |
| Detecting the presence of unwanted components in a single-phase flow using data-driven models Y Liang, G Lindsay Global Flow Measurement Workshop, 21, 2022 | | 2022 |
| Data-driven modelling for condition-based monitoring and flow regime prediction in flow systems B Nobakht, Y Liang, G Lindsay, S Black 39th International North Sea Flow Measurement Workshop, 2021 | | 2021 |
| Control and instrumentation_w3 G Lindsay | | |
| Control_and_instrumentation_w11 K Rice, I Kucukdemiral, G Lindsay | | |
