75. Automated diagnostic systems

Ryszard Michalski1, Jarosław Gonera2, Michał Janulin3

University of Warmia and Mazury in Olsztyn, Faculty of Technical Sciences,
Department of Vehicle and Machine Construction and Operation, Olsztyn, Poland

1Corresponding author

E-mail: 1ryszard.michalski@uwm.edu.pl, 2jaroslaw.gonera@uwm.edu.pl, 3michal.janulin@uwm.edu.pl

(Received 15 October 2015; received in revised form 19 November 2015; accepted 27 November 2015)

Abstract. With the extremely advanced and complex design of modern vehicles, their high power and torque, it is necessary to employ advanced diagnostic systems. Quick detection and diagnosis of all defects will protect the vehicle against more serious failures, and will prevent excessive fuel consumption and harmful emissions, as well as prevent the reduction of the efficiency and functionality of vehicles. The mechatronic vehicle diagnostic system must include the diagnostic modules for the following components: engine, powertrain, steering, brake system, suspension and electrical equipment. The study discusses the hardware and software components of the mechatronic vehicle diagnostic system, and presents the sample sensors installed in the vehicle to monitor the parameters of components included in the diagnostic system. The vehicle diagnostics system has been presented using the example of diagnostics of wheeled tractors. For this purpose, two alternative diagnostic devices have been developed: a prototype MSDC-1 device, and a production version of the MSDC-2 device. Following a minor adaptation, both devices can be used in the diagnostics of other wheeled vehicles powered by I.C. engine. In further paragraphs of the study, some of the field tests performed on the diagnostic units are discussed. The study also presents some of the test results in the form of diagrams of changes in the temperature of specific engine components. In the diagrams illustrating the results of the tests, the changes of specific operating parameters of the wheeled tractor over time during tests of the MSDC-1 and MSDC‑2 units can be observed. The devices differ significantly in terms of design, but they share a purpose, namely online diagnostics of vehicle condition.

Keywords: vehicle, damage, diagnostics, diagnostic systems.

References

[1]        Dyer J., Desjardins R. Carbon dioxide emissions associated with the manufacturing of tractors and farm machinery in Canada. Biosystems Engineering, Vol. 93, 2006, p. 107‑118.

[2]        Lindgren M. A. Transient fuel consumption model for non-road mobile machinery. Biosystems Engineering, Vol. 91, 2005, p. 139‑147.

[3]        Kumar A., Pandey K. P. A device to measure dynamic front wheel reaction to safeguard rearward overturning of agricultural tractors. Computers and Electronics in Agriculture, Vol. 87, 2012, p. 152‑158.

[4]        Michalski R., Gonera J., Janulin M. A simulation model of damage-induced changes in the fuel consumption of a wheeled tractor. Eksploatacja i Niezawodność – Maintenance and Reliability, Vol. 16, Issue 3, 2014, p. 452‑457, (in Polish).

[5]        Pranav P. K., Tewari V. K., Pandey K. P., Jha K. R. Automatic wheel slip control system in field operations for 2WD tractors. Computers and Electronics in Agriculture, Vol. 84, 2012, p. 1‑6.

[6]        Singh C. D., Singh R. C. Computerized instrumentation system for monitoring the tractor performance in the field. Journal of Terramechanics, Vol. 48, Issue 5, 2011, p. 333‑338.

[7]        Michalski R., Gonera J., Janulin M., Arendt R. Structural Analysis of a Wheeled Tractor Oriented Towards Damage Diagnostics. Monography, Dissertation No. M29, Wydawnictwo Politechniki Świętokrzyskiej, Kielce, Poland, 2012.

[8]        Michalski R., Janulin M., Gonera J. Models of diagnostic relations in a wheeled tractor. Biuletyn Wojskowej Akademii Technicznej – Bulletin of the Military University of Technology, Vol. 63, Issue 1, 2014, p. 129‑140, (in Polish).

[9]        Michalski R., Arendt R., Janulin M., Gonera J. Fault Diagnosis of Wheeled Tractors. Identification of Relationship, Models, Hardware and Software of Diagnostic System. Publishing University of Warmia and Mazury, Olsztyn, 2014, (in Polish).

[10]     Michalski R., Arendt R. Structure and algorithms of a diagnostic device in a wheeled tractor. Diagnostyka, Vol. 14, Issue 4, 2013, p. 55‑60.

[11]     Michalski R., Arendt R. Hardware and software of diagnostic system of wheeled tractors. Journal of Konbin, Vol. 26, 1, p. 151‑164, (in Polish).

Cite this article

Michalski Ryszard, Gonera Jarosław, Janulin Michał Automated diagnostic systems. Journal of Measurements in Engineering, Vol. 3, Issue 4, 2015, p. 93‑104.

 

Journal of Measurements in Engineering. December 2015, Volume 3, Issue 4

© JVE International Ltd. ISSN Print 2335-2124, ISSN Online 2424-4635, Kaunas, Lithuania