Structural Health Monitoring is critical for variety of applications ranging from steel production, vibrations of structural elements, pressure or cracks constructions, functioning of steel ropes, inspection of a railway or aerospace or automotive assembly etc. The health monitoring unlocks effective predictive maintenance strategies to help in real-time monitoring of elements and devising optimum maintenance planning strategies for reduced failures and downtime. The structural health monitoring and preventive maintenance strategies across industries are experiencing considerable changes in recent years due to onset of IoT enabled automation and application of data driven algorithms. The changing paradigm offers unique opportunities to innovators and industrialists in developing indigenous technological solutions offering unique business opportunities. The webinar jointly hosted by Technology Innovation and Startup Center (TISC) at Indian Institute of Techology Jodhpur in collaboration with CII brings distinguished individuals from diverse domains to disseminate the latest technology trends and discuss futuristic solutions. The webinar will have expert talks by eminent speakers accompanied by brief session on Questions and Answers.

Dr. Soumitra Tarafder

Chief Scientist

Dr. M. T. Shyamsunder

Principal Scientist
GE Research

Dr. Avijit Mondal


Dr. Santanu Chaudhury
IIT Jodhpur

10.00AM-10.15AM Welcome Address
Dr. Anjan Das, Executive Director – Technology, CII

10.15AM-11.15AM Talk 1: Digital Twin for Health Monitoring and Predictive Maintenance
Dr. Santanu Chaudhury, IIT Jodhpur
11.15AM-12.15PM Talk 2: Evaluation of integrity and monitoring of health of engineering structures and components
Dr. Soumitra Tarafdar, CSIR- NML

Soumitra's talk will highlight the essential gamut of activities that comprise the practice of Structural Integrity Assessment and Structural Health Monitoring. That such activities belong to various knowledge domains, and the fact that interdisciplinary teamwork is necessary in any endeavour to ascertain the current status of health of a component or structure will be emphasized. The relevant codes and procedures that are followed in the industry for assessment of integrity of components and assuring their fitness-for-purpose will be discussed. Through examples of actual cases of integrity assessment initiatives, the various types of opportunities that exist for initiating commercial activities will be underscored.
12.15PM-1.15PM Talk 3: Innovations in NDE and SHM driving improved Predictive Maintenance
Dr. M T Shyamsundar
GE Research

Industrial assets in various industries including power, oil and gas, petrochemical, aerospace, are being designed for maximum efficiency and performance. Nondestructive Evaluation (NDE) and Structural health Monitoring (SHM) are key technologies for ensuring the optimum utilization of the assets with minimum downtime. One critical aspect for this are adequate technologies and approaches for effective Predictive Maintenance. Both NDE and SHM have undergone a phenomenal change in the way they are being developed, adopted, deployed and implemented in today's industrial world. The primary driver for this has been the large number of disruptions which have taken place in the allied domains. The domains which are helping revolutionize the world of NDE and SHM are wide ranging from sensors, communications, digital, robotics, automation, electronics, high density interconnect, software, IIoT, materials, manufacturing, machine learning, digital twins, artificial intelligence, data analytics, cloud infrastructure, virtual and augmented reality and many more. While each one of these is contributing to the change, it is the synergies between these multidisciplinary areas which is the true enabler of enhanced predictive maintenance. This presentation will provide an overview of the above topic with a few examples and case studies.
1.15PM-2.15PM Talk 4: Need of indigenous development of different tools and techniques for Structural Health Monitoring Specially for Thermal Power Plant
Avijit Mondal

Power plant components are subjected to diverse damage mechanisms like creep, fatigue, corrosion, erosion etc depending on their operation parameters. The present changing power scenario due to preferential use of renewable energy has created the situation even more complex. Many of the coal power plants are subjected to flexible operations. The fluctuating loading conditions cause further stress to the critical components and require deployment of advanced NDE methods for early detection of defects. There have been rapid advancements in many conventional NDE methods deployed for surface or volumetric inspection like TOFD, PAUT, FSECT etc. However, most of these advancements are taking place in advanced countries and Indian companies are mainly providing the services using the advanced technology. There is need for sustained efforts for indigenous development of technologies to match the performance of state-of-the-art equipment. Moreover, there is need for development of newer technologies and databases for assessing the damages in components that the Indian power sectors are experiencing. In the present talk in- situ mechanical properties and microstructural degradation of power plant components will be discussed using low cost indigenously developed portable Automated Ball Indentation (ABI) and electromagnetic device MagStar will be discussed. Application of Magnetic Coercive Force (MCF) measurement system for assessment of the effectiveness of post weld heat treatment of ferritic steel and indigenously developed robotic system for remote visual inspection of boiler headers will also be discussed.
2.15PM-2.30PM Closing Remarks
Prof. Amitava Mitra, IIT Jodhpur


Practicing professionals, academicians, researchers, innovators and students with interests in the domain of structural health monitoring and preventive maintenance

The webinar will be hosted on WebEx platform of CII and details will be shared with registered participants one day prior to the webinar. Please write back to office_iro@iitj.ac.in in case of any queries related to the webinar.

Register today for the webinar!