Blade tip timing and random forest-based blade crack online measurement method

Abstract

The invention relates to a blade tip timing and optimization random forest model-based blade crack online measurement method, which comprises the following steps: arranging a plurality of blade tip timing sensors at different positions of a casing of a rotary machine, measuring the arrival time of a blade reaching each blade tip timing sensor through the blade tip timing sensors, and solving bladevibration data; measuring vibration data of the crack-free blade and the crack blade under the simulated working condition by combining a rotating machinery working condition simulation test bed, marking the vibration data of the crack-free blade as a positive sample, and marking the vibration data of the crack blade as a negative sample; carrying out sample equalization on the positive and negative samples, then sending the positive and negative samples into a random forest classifier for training, carrying out hyper-parameter optimization on the random forest classifier by utilizing a gridsearch and out-of-bag error verification method, and establishing an optimized random forest classification model; classifying the blade vibration data under the operation condition in real time by optimizing the random forest classification model, and achieving online measurement of the cracks of the full-stage blade of the rotary machine.

Description

technical field [0001] The invention belongs to the field of state monitoring of rotating machinery, in particular to an online measurement method for blade cracks based on blade tip timing and an optimized random forest model. [0002] technical background [0003] Large rotating machinery includes large equipment such as aero engines and steam turbines, and is the core component of various military and commercial aircraft in the aerospace field, as well as key equipment such as generator sets and steam sets in the industrial field. In particular, blades are the core components of rotating machinery, and their working status directly affects the working efficiency and safe and stable operation of these key equipment. The working environment of rotating mechanical blades is very harsh, and they are exposed to harsh conditions such as high stress, high and low temperature, or high erosion for a long time. These external conditions will produce complex periodic or non-periodic...

AI Technical Summary

Problems solved by technology

[0005] At present, the crack measurement of all-stage blades of rotating machinery relies on offline detection technology, which cannot meet the actual needs of online measurement of all-stage blade cracks of large-scale rotating machinery

Images