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Fault severity estimation in a vehicle cooling system
Author(s) -
Nemati Mohsen,
Seyedtabaii Saeed
Publication year - 2020
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2155
Subject(s) - thermostat , nonlinear system , control theory (sociology) , water cooling , fault (geology) , engineering , automotive engineering , observer (physics) , fault detection and isolation , clogging , actuator , computer science , control (management) , mechanical engineering , seismology , geology , physics , electrical engineering , archaeology , quantum mechanics , artificial intelligence , history
On‐time water pump malfunction, thermostat sticking, fan defect, and radiator clogging severity estimation in a vehicle cooling system prevents system breakdown and saves repair costs and service time. In this respect, to minimize the required number of engine variable measurements, the engine body temperature, T b is introduced as a single driving force of the thermal system and a modified adaptive second order sliding mode (SOSM) fault observer is utilized to estimate the (single case) faults despite the system nonlinear uncertainty. The faults are applied and the estimates are obtained within the defined temperature ranges. The results of extensive simulations indicate that the algorithm works well in assessing the occurred damages to the uncertain system.