Titlebook: Advances in Risk and Reliability Modelling and Assessment; Proceedings of 5th I Prabhakar V. Varde,Gopika Vinod,N. S. Joshi Conference proc

cajole

伪善

chronology

构想

A Support Vector Machine Model for Detection of Transients in Nuclear Reactorace into classes by using a hyperplane. For data-driven modeling, simulated datasets representing major transients anticipated in a pool type research reactor, including Loss of Coolant and Loss of Flow, are used. Important plant parameters like power, coolant flow & reactor pool level, measured and

Hallowed

Reinforcement Learning for Mission Reliability Based Selective Maintenance Optimizationd on the reward policy. The objective of the maintenance optimization problem is to achieve the desired system mission reliability while consuming minimum resources. The reward function is defined such that the agent will learn and then determine the best strategy considering all the constraints. Th

Hdl348

严重伤害

BURSA

Internal Leakage Diagnosis of a Hydraulic Cylinder Using C-LSTM Neural Networkchieves the validation loss <0.2. The training accuracy of the proposed C-LSTM model is found to be 97.47% whereas test accuracy is ~95%. Thus, C-LSTM has proved to be a robust and reliable methodology for diagnosing internal leakage in hydraulic cylinders.

直觉没有

健谈

Evaluation of Internal Fire Hazards in Indian Nuclear Power Plantsh a way that it reduces the risk of fires. Emphasis is on providing passive and active fire protection. Fire Hazard Analysis (FHA) of the NPPs is carried out by using Fire Containment approach and Fire Influence Approach. Wherever, redundant items important to safety are placed in different fire com