Design And Realize Of Gas Turbine Blade Temperature Monitoring System

In recent years, with the gas turbine technical progress and mature, and itsperformance, efficiency and level of technology has been greatly improved, and hasbeen widely used in the electric power industry, the petroleum industry, the chemicalmetallurgy industry and the ship power and other fields. The turbine blades as one ofthe most important part of the gas turbine power, due to long-term work in the harshenvironment of high temperature high pressure, gas turbines directly impact on theusing life of the gas turbine, has received widespread attention, and the bladetemperature as an important assessment indicators of the blade’s quality are alsobecame increasingly important. Because of the constraint of the work environment,turbine blades temperature cannot be measured directly, for which the subject realizesthe temperature measurement based on the principle of radiation.Virtual instrument has advantages of shorter development cycle, lower cost, andeasier operation, so in some areas developed rapidly and instead of the traditionalinstruments. Compared with traditional instruments, virtual instrument has only onecontrol panel, this reduces the number of identification and the probability of theoperation error, also increase accuracy and convenient of operation. At the same time,virtual instruments do not restriction on industry-standard and processing technology,programming of its design to achieve high flexibility, and it also has the obviouslyadvantages on the engineering and economic aspects.This subject realize the temperature measurement based on the basic principles ofradiation, with the virtual instrument, based on LabVIEW software and DAQmxhardware platform, deign a real-time and accurate blades temperature measurementsoftware system, it not only can directly response the actual blades temperature, but alsocan accurately segment the blades temperature data processing, access to the state ofwork blades, analysis the variation of temperature distribution and the detectiontemperature’s abnormal phenomenon. The system has a memory function that cancollect the selectively blades temperature data record, in order to analysis and calculatethe data, and also can compare with the number of blades real-time temperature trends, reflecting the current working conditions.By experiment and the actual measurement in gas turbines, it proves that thesystem has not only accuracy temperature measurement, blades feature extractionaccurate and stability, also has high anti-interference ability, reliability, and suitable forindustrial conditions of measurement.