Theoretical Approach on Internal Combustion Engines Using Multivariable Procedures

Abstract:

The paper highlights the main possibilities available when studying how the vehicles engine operate using algorithms specific to the multivariate statistics. A particular example of studying the engines behavior is represented by the diagnosis activity performed onto the vehicle, an activity that a special attention is being paid to throughout the paper. To this purpose, during the tests we have intentionally caused certain malfunctions to the engine. Circuit breakdowns were intentionally caused on various electric circuits that connect sensors and actuators to ECU. Fitting modern vehicles with electronic control systems offers the possibility for computerized approach of various maintenance operations onto its mechatronic components (sensors, actuators). These components are part of those electronic systems. Such an approach includes onboard simulation of various malfunctions that may occur during normal operation of vehicles. The procedure which is currently presented in the paper herein is about generating controlled malfunctions, using the sensors connector, a signal that is specifically varied towards the electronic control unit (ECU). Thus the ECU will interpret that the system that it is managing indicates a vehicle malfunction. .

• Periodical: Advanced Materials Research (Volume 1036)
• Pages: 574-579
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1036.574
• Online since: October 2014
• Authors: Florin Oloeriu*, Oana Mocian, Marin Marinescu, Dănuţ Grosu, Constantin Ilie
• Keywords: Engine Diagnosis, Principal Component Analysis (PCA)

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