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Welcome to Automotive Health Monitoring Lab
Centre for Automotive Research and Tribology, IIT Delhi

About 

AHM research group led by Prof. S. Fatima, aspires to develop novel and transformative technologies for automotive and industrial applications that enable sustainable development. AHM Lab is focused on fault detection, diagnosis and prognosis of automotive and industrial machines using AI and IoT. Moreover, it provides the solution to isolate the faults and mitigate unwanted automotive sound by developing high-end acoustical materials for noise control applications. The lab is having various state of the art measuring equipment for Automotive Condition Monitoring and Automotive Noise, Vibration and Harshness (NVH).

Glimpse of Research Area

Automotive Condition Monitoring

Machinery Fault Simulator

Simulation of rotating machine faults and diagnosis using AI-based condition monitoring techniques.

Faults

  • Motor Fault     

  • Bearing Defect

  • Gear Box Fault

  • Unbalance

  • Misalignment

Diagnostic Techniques

  • Vibration Analysis        

  • Current Monitoring

  • Thermography            

  • Noise Monitoring 

  • Acoustic Emission

Motor Test Rig

Development of intelligent fault diagnosis and prognosis system for automotive and allied components.

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Components

  • EV Motors

  • Gear Box

  • Bearings

Analysis Methods

  • Sensor Fusion

  • Artificial Intelligence

  • Signal Processing

  • Image Processing   

  • Internet of Things

Research Spotlight

Recent Publications

Visit us on: Research Gate

Award and Recognition

Latest News

  • Dr. Tauheed Mian sucessfully defended his Ph.D thesis.

  • Dr. Anurag Choudhary received his Ph.D. degree in the 55th Convocation of IIT Delhi.

  • Mr. Rismaya Kumar Mishra received the DST Grant for attending Inter-Noise 2024 at Nantes, France.

  • Mr. Jonty Mago received the Hallberg Foundation Awards for Travel for Noise-Con 2024.

Automotive Health Monitoring Lab
Room 142/143, Block V, CART, IIT Delhi
Phone: +91-11-2659-6475, +91-11-2659-6477

Number of Visitors

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