AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
ABOUT THE COURSE:
Artificial Intelligence enabled Prognostics and Health Management (PHM) in general and its implementation at system level is relatively a new field in R&D and academics. The advantage of implementing PHM is it tracks the subject SSCs (System, Structure and Component) performance and thereby provide instantaneous information on system health and predicts the failure ‘instant’ along with uncertainty in prediction. This feature of PHM makes the SSCs operations & maintenance management a easier and finally reflects in reliability and safety of the plant. The available literature shows this approach has shown promising results.
INTENDED AUDIENCE: Research scholar, Practitioners, Student interested to do projects in Machine learning project, reliability and safety young and middle level industry executives, engineering safety and reliability domain researchers, material degradation scientists, etc.
PREREQUISITES: MSc. / B.Tech./M.Tech/Ph.D in any engineering discipline
INDUSTRY SUPPORT: A company that intend to modernize their operations and maintenance program using AI based tools and methods. Prospective Industries might include Nuclear, Aviation, Space, Railway, R&D Institutions and University, GE, Heavy Electricals, Electronics, etc.
Artificial Intelligence enabled Prognostics and Health Management (PHM) in general and its implementation at system level is relatively a new field in R&D and academics. The advantage of implementing PHM is it tracks the subject SSCs (System, Structure and Component) performance and thereby provide instantaneous information on system health and predicts the failure ‘instant’ along with uncertainty in prediction. This feature of PHM makes the SSCs operations & maintenance management a easier and finally reflects in reliability and safety of the plant. The available literature shows this approach has shown promising results.
INTENDED AUDIENCE: Research scholar, Practitioners, Student interested to do projects in Machine learning project, reliability and safety young and middle level industry executives, engineering safety and reliability domain researchers, material degradation scientists, etc.
PREREQUISITES: MSc. / B.Tech./M.Tech/Ph.D in any engineering discipline
INDUSTRY SUPPORT: A company that intend to modernize their operations and maintenance program using AI based tools and methods. Prospective Industries might include Nuclear, Aviation, Space, Railway, R&D Institutions and University, GE, Heavy Electricals, Electronics, etc.
