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Editorial Process - Peer Reviewed

Integrated Vehicle Health Management System: Matlab Simulink

    Authors

    • Aswathy E 1
    • Athil Shaji 1
    • Atul V Chandran 1
    • Bhavya Bijoy 1
    • Dr.Sreelal Pillai 2
    • Anu Assis 3
    • Vishnu Damodaran 4
    • Sajeena A 3

    1 UG - Electronics and Communication Engineering, TKM College of Engineering, Kollam, Kerala, India.

    2 Avionics Engineer, Vikram Sarabhai Space Centre, Thiruvananthapuram, Kerala, India.

    3 Associate Professor, Electronics and Communication Engineering, TKM College of Engineering, Kollam, Kerala, India.

    4 Assistant Professor, Electronics and Communication Engineering, TKM College of Engineering, India.

,

Document Type : Research Article

10.47392/IRJASH.2024.008
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Abstract

This paper presents an Integrated Vehicle Health Management (IVHM) framework leveraging strategic sensor placement for real-time monitoring of critical parameters such as temperature, pressure, and voltage inside launch vehicles. The system compares continuously collected sensor data against preset limits established by the developers. Upon detecting deviations beyond these limits, the framework initiates alerts or corrective actions to mitigate potential issues. Initially a MATLAB Simulink model was developed, which will later develop into a real time monitoring system using Peripheral Interface Controller (PIC) or FPGA. Launch vehicles may collapse due to environmental changes including temperature, pressure and other climatic variations and causes noise, pollution, financial crisis. Personal health is of utmost importance in missions like Gaganyaan - Human in space. In such cases, the abortion of mission is of high importance for the protection of human life. The IVHM system promotes Launch vehicle reuse and Protection of life in human space missions and thus enhances space sustainability. Less waste and material use, less energy use, less noise, more biodiversity, and of course lower emissions of CO2 and other harmful pollutants are just a few of the immediate advantages, the quality of life, safety, labour efficiency, and the use and consumption of materials are examples of indirect benefits of the IVHM system. The historical data to refine the predetermined limits, is by considering factors like normal parameter ranges, vehicle model specifics, environmental conditions, and driving patterns. This research contributes to the advancement of IVHM strategies and their practical implementation for vehicular health monitoring.

Keywords

  • Integrated Vehicle Health Management (IVHM)
  • Real-time monitoring
  • Present limits
  • Limit Checking
  • Dynamic limit checking
  • Predetermined limits
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International Research Journal on Advanced Science Hub
Volume 6, Issue 03
March 2024
Page 40-46
Files
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  • PDF 808.11 K
History
  • Receive Date: 22 February 2024
  • Revise Date: 04 March 2024
  • Accept Date: 15 March 2024
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  • Article View: 249
  • PDF Download: 92

APA

E, A. , Shaji, A. , Chandran, A. V. , Bijoy, B. , Pillai, D. , Assis, A. , Damodaran, V. and A, S. (2024). Integrated Vehicle Health Management System: Matlab Simulink. International Research Journal on Advanced Science Hub, 6(03), 40-46. doi: 10.47392/IRJASH.2024.008

MLA

E, A. , , Shaji, A. , , Chandran, A. V. , , Bijoy, B. , , Pillai, D. , , Assis, A. , , Damodaran, V. , and A, S. . "Integrated Vehicle Health Management System: Matlab Simulink", International Research Journal on Advanced Science Hub, 6, 03, 2024, 40-46. doi: 10.47392/IRJASH.2024.008

HARVARD

E, A., Shaji, A., Chandran, A. V., Bijoy, B., Pillai, D., Assis, A., Damodaran, V., A, S. (2024). 'Integrated Vehicle Health Management System: Matlab Simulink', International Research Journal on Advanced Science Hub, 6(03), pp. 40-46. doi: 10.47392/IRJASH.2024.008

CHICAGO

A. E , A. Shaji , A. V. Chandran , B. Bijoy , D. Pillai , A. Assis , V. Damodaran and S. A, "Integrated Vehicle Health Management System: Matlab Simulink," International Research Journal on Advanced Science Hub, 6 03 (2024): 40-46, doi: 10.47392/IRJASH.2024.008

VANCOUVER

E, A., Shaji, A., Chandran, A. V., Bijoy, B., Pillai, D., Assis, A., Damodaran, V., A, S. Integrated Vehicle Health Management System: Matlab Simulink. International Research Journal on Advanced Science Hub, 2024; 6(03): 40-46. doi: 10.47392/IRJASH.2024.008

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