Modelling in-cylinder pressures for accurate simulations of instantaneous angular speed responses to combustion faults in an IC engine powertrain

Y. Xu, J. Fei, Y. Yun, J. Wang , F. Gu, A. D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish
Title of host publicationSixteenth International Conference on Condition Monitoring and Asset Management (CM 2019)
PublisherBritish Institute of Non-Destructive Testing
Volume1
ISBN (Print)9781510889774
Publication statusPublished - 1 Aug 2019
EventSixteenth International Conference on Condition Monitoring and Asset Management - Glasgow, United Kingdom
Duration: 25 Jun 201927 Jun 2019
Conference number: 16
https://www.bindt.org/events/CM2019/ (Conference website. )

Conference

ConferenceSixteenth International Conference on Condition Monitoring and Asset Management
Abbreviated titleCM 2019
CountryUnited Kingdom
CityGlasgow
Period25/06/1927/06/19
Internet address

Fingerprint

Powertrains
Engine cylinders
Internal combustion engines
Ship propulsion
Monitoring
Fourier series
Computational efficiency
Embedded systems
Costs
Interpolation
Polynomials
Sensors
Industry

Cite this

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). [133] British Institute of Non-Destructive Testing.
Xu, Y. ; Fei, J. ; Yun, Y. ; Wang , J. ; Gu, F. ; Ball, A. D. / Modelling in-cylinder pressures for accurate simulations of instantaneous angular speed responses to combustion faults in an IC engine powertrain. Sixteenth International Conference on Condition Monitoring and Asset Management (CM 2019) . Vol. 1 British Institute of Non-Destructive Testing, 2019.
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abstract = "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.",
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Xu, Y, Fei, J, Yun, Y, Wang , J, Gu, F & Ball, AD 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, 133, British Institute of Non-Destructive Testing, Sixteenth International Conference on Condition Monitoring and Asset Management, Glasgow, United Kingdom, 25/06/19.

Modelling in-cylinder pressures for accurate simulations of instantaneous angular speed responses to combustion faults in an IC engine powertrain. / Xu, Y.; Fei, J.; Yun, Y.; Wang , J.; Gu, F.; Ball, A. D.

Sixteenth International Conference on Condition Monitoring and Asset Management (CM 2019) . Vol. 1 British Institute of Non-Destructive Testing, 2019. 133.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Xu, Y.

AU - Fei, J.

AU - Yun, Y.

AU - Wang , J.

AU - Gu, F.

AU - Ball, A. D.

PY - 2019/8/1

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N2 - 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.

AB - 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.

KW - Crankshafts

KW - diesel engines

KW - Instantaneous speed

KW - Fault detection

KW - IAS

KW - In-cylinder pressure

KW - Modelling

KW - Power train rotor system

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BT - Sixteenth International Conference on Condition Monitoring and Asset Management (CM 2019)

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Xu Y, Fei J, Yun Y, Wang J, Gu F, Ball AD. 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. 2019. 133