Digital twin model of gas turbine and its application in warning of performance fault

The digital twin-driven performance model provides an attractive option for the warn gas-path faults of the gas turbines.However,three technical difficulties need to be solved:(1)low modeling precision caused by individual differences between gas turbines,(2)poor solution efficiency due to excessive iterations,and(3)the false alarm and missing alarm brought by the traditional fixed threshold method.This paper proposes a digital twin model-based early warning method for gas-path faults that breaks through the above obstacles from three aspects.Firstly,a novel performance modeling strategy is proposed to make the simulation effect close to the actual gas turbine by fusing the mechanism model and measurement data.Secondly,the idea of controlling the relative accuracy of model parameters is developed.The introduction of an error module to the existing model can greatly shorten the modeling cycle.The third solution focuses on the early warning based on the digital twin model,which self-learns the alarm threshold of the warning feature of gas-path parameters using the kernel density estimation.The proposed method is utilized to analyze actual measured data of LM2500+,and the results verify that the new-built digital model has higher accuracy and better efficiency.The comparisons show that the proposed method shows evident superiority in early warning of performance faults for gas turbines over other methods.

Exploring innovative techniques for damage control during natural disasters

The study critically examines the principles,mechanisms,and effectiveness of different damage control tech-niques in dealing with natural disasters,emphasizing their pivotal role in minimizing casualties and economic losses.Each of these damage control techniques is mapped based on their applications and relevance in the key areas of natural disaster management.By utilizing various real-world instances,the present study shows that the effective implementation of various innovative techniques is shaping the space of natural disaster management in a global context.The integration of different innovative techniques into the existing natural disaster management system has improved the survival rate,economic performance,and sustainable development.The study finds that innovative disaster financing models,clear strategies,and creating awareness among communities can improve the overall efficiency of innovative techniques that are currently used for damage control during natural disaster events.Despite the substantial advantages of these creative strategies,the study acknowledges challenges such as financial constraints,unclear policy goals,and community adaptation requirements.The study also indicates that in the future,automatic damage restoration,quick prototyping,and additive engineering will play a vital role in controlling damage from catastrophic events,while it acknowledges limitations in temporal scope,generaliz-ability,andfinancial constraints.