GIS-based design and analysis of preventive health management system for vehicles using ANFIS Online publication date: Tue, 26-Nov-2019
by Sushma Kamlu; V. Laxmi
International Journal of Computational Complexity and Intelligent Algorithms (IJCCIA), Vol. 1, No. 2, 2019
Abstract: The health of a vehicle gets affected by different parameters having uncertainties such as past running hours, vehicle operating condition, the consumption rate of fuel, etc. which in turn influence the health of a transportation system as a whole. In this work, a geographical information system (GIS)-based adaptive neuro fuzzy inference system (ANFIS) has been utilised for the advanced prognostic and health management strategy of the vehicle to assess the condition of the vehicle from a precautionary preservation perspective, so as to enhance the ability of credentials of proactive malfunction circumstances. The case study corroborates the effectiveness of the proposed ANFIS technique. It provides the proposal of safeguarding the operation for pragmatic applications with consideration of all uncertainties, the domino effect on the health of the transportation system.
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