Kumari, P.

Authored

(185b) A Comprehensive Causation Prediction Model of Pipeline Incidents Using Artificial Neural Network
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(588c) Discovery of Cyclic Loops in Bayesian Network for Root Cause Diagnosis of Process Faults
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(345g) A Modified Bayesian Network to Handle Cyclic Causal Network in Root Cause Diagnosis of Rare Events
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(560c) Development of Computationally Efficient Dynamic Model to Estimate Consequence of Rare Events
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(128c) How Well CAN WE Predict Causes behind the Pipeline Incidents?
2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety (ISBN: 978-0-8169-1115-8)

Related Proceedings

2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety2021 Annual Meeting2022 Annual Meeting