A methodology for increasing the signal to noise ratio for the misfire detection at high speed in a high performance engine

Author:

Cavina Nicolò,Cipolla Giovanni,Marcigliano Francesco,Moro Davide,Poggio Luca

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference19 articles.

1. California Air Resources Board. (1991). Technical status update and proposed revisions to malfunction and diagnostic system requirements applicable to 1994 and subsequent california passenger cars, light-duty trucks, and medium-duty vehicles—(OBD II). CARB, California.

2. Misfire detection based on engine speed time-frequency analysis;Cavina;SAE 2002 Journal of Engines,2003

3. Cavina, N., Moro, D., Cipolla, G., Marcigliano, F., & Poggio, L. (2003b). Statistical approach for misfire detection strategy design in a V8 SI engine. SAE-ATA Paper 03A2042. Fourth International conference on control and diagnostics in automotive applications, Genova, Italy.

4. Ceccarani, M., Rebottini, C., & Bettini, R. (1998). Engine misfire monitoring for a V12 engine by exhaust gas pressure analysis. SAE Technical Paper 980518. SAE, PA, USA.

5. Chung, Y., Bae, C., Choi, S., & Yoon, K. (1999). Application of a wide range oxygen sensor for the misfire detection. SAE Technical Paper 1999-01-1485. SAE, PA, USA.

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1. Torsional vibration responses of the engine crankshaft-gearbox coupled system with misfire and breathing slant crack based on instantaneous angular speed;Mechanical Systems and Signal Processing;2022-07

2. Misfire detection of diesel engine based on convolutional neural networks;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2021-01-11

3. Real-Time Angular Velocity-Based Misfire Detection Using Artificial Neural Networks;Journal of Engineering for Gas Turbines and Power;2019-01-10

4. Multivariate statistical analysis strategy for multiple misfire detection in internal combustion engines;Mechanical Systems and Signal Processing;2011-02

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