Abstract

Centrifugal fans are widely used in various industries as a kind of turbo machinery. Among the components of the centrifugal fan, the impeller is a key part because it is used to transform kinetic energy into pressure energy. Crack in impeller’s blades is one of the serious hidden dangers. It is important to detect the cracks in the blades as early as possible. Based on blade vibration signals, this research applies an adaptive stochastic resonance (ASR) method to diagnose crack fault in centrifugal fan. The ASR method, which can utilize the optimization ability of the grid search method and adaptively realize the optimal stochastic resonance system matching input signals, may weaken the noise and highlight weak characteristic and thus can diagnose the fault accurately. A centrifugal fan test rig is established and experiments with three cases of blades are conducted. In comparison with the ensemble empirical mode decomposition (EEMD) analysis and the traditional Fourier transform method, the experiment verified the effectiveness of the current method in blade crack detection.

Highlights

  • IntroductionWith rapid development of science and technology, centrifugal fan is growing larger, more precise, and more automatic in modern industry which leads to the difficulty of detecting its potential faults caused by harsh working environment at unscheduled time

  • Centrifugal fan plays an important role in industrial applications at present

  • The adaptive stochastic resonance (ASR) method is applied to diagnosing faults of blade crack

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Summary

Introduction

With rapid development of science and technology, centrifugal fan is growing larger, more precise, and more automatic in modern industry which leads to the difficulty of detecting its potential faults caused by harsh working environment at unscheduled time. Once this fault occurs, it will cause great economic loss. Damage can occur on any part of the centrifugal fan, the most common type is blade damage. Special attention should be paid to the structural health of blades because blades are one of the most critical components in centrifugal fan

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