Internal combustion (IC) engine based power trains are common transmissions used in many important industries such as trains, standby power supplies and marine propulsion. Conventional vibration based monitoring often needs a considerable number of sensors because of large layout of the system, which is cost-intense and difficult to operation. Aimed at developing a cost-effectives system, this study focuses on investigating accurate modelling of in-cylinder pressures for efficient simulation studies of instantaneous angular speed (IAS) responses under different fault cases in an IC engine based power train. The accuracy along with computational efficiency in constructing in-cylinder pressure are compared by using the polynomial modelling, Fourier series, Gaussian modelling and linear interpolation. The studies show that the Fourie series is more efficient and more accurate. Moreover, these simulated results provide the fundamentals for optimising the in-cylinder pressure prediction in solving an IAS based embedded system for monitoring IC engine based power trains.
|Title of host publication||Sixteenth International Conference on Condition Monitoring and Asset Management (CM 2019)|
|Publisher||British Institute of Non-Destructive Testing|
|Publication status||Published - 1 Aug 2019|
|Event||Sixteenth International Conference on Condition Monitoring and Asset Management - Glasgow, United Kingdom|
Duration: 25 Jun 2019 → 27 Jun 2019
Conference number: 16
https://www.bindt.org/events/CM2019/ (Conference website. )
|Conference||Sixteenth International Conference on Condition Monitoring and Asset Management|
|Abbreviated title||CM 2019|
|Period||25/06/19 → 27/06/19|
Xu, Y., Fei, J., Yun, Y., Wang , J., Gu, F., & Ball, A. D. (2019). Modelling in-cylinder pressures for accurate simulations of instantaneous angular speed responses to combustion faults in an IC engine powertrain. In Sixteenth International Conference on Condition Monitoring and Asset Management (CM 2019) (Vol. 1).  British Institute of Non-Destructive Testing.