Transformer vibration noise source positioning system and method

Abstract

The invention discloses a transformer vibration noise source positioning system and method, and relates to a vibration noise source positioning method. The transformer vibration noise source positioning system includes a spiral array sensor, a guide rail, a signal processor, a computer and a traction motor, wherein the spiral array sensor utilizes a wave beam shaping algorithm and a near field acoustical holography algorithm to identify the transformer vibration noise source, and at the same time an optical camera shoots the real-time images of a transformer; a classical transfer function database of each voltage class transformer is arranged in a path transfer analysis module, and the path transfer analysis module also includes a crosstalk elimination module, and can solve coupling of thetransfer path; and the final result is stored in a computer in a data form and an ultrasonogram mode. The transformer vibration noise source positioning system and method can be applied to a transformer in each voltage class and each operation condition.

Description

technical field [0001] The invention and a method for locating a vibration and noise source, in particular, relate to a system and a method for locating a vibration and noise source of a transformer. Background technique [0002] Transformer is one of the most important equipment in the power system. It is expensive but has a large role and involves a wide range of areas. As a large-scale power equipment, once a fault occurs, its maintenance cycle is long and difficult, which consumes a lot of manpower and material resources, and has a serious impact on the safe and stable operation of the power system. Transformers are bulky, complex in structure, and have a wide spectrum of vibration and noise. Monitoring the vibration and noise of transformers is helpful for early detection of transformer faults. [0003] In the prior art, "Noise Source Identification Method Using Vibration Velocity Measurement and Local Near-field Holography" (Patent No. 201210157595.2) uses near-field ...

AI Technical Summary

Problems solved by technology

However, this method is only good at identifying high-frequency noise sources, and does not consider low-frequency noise

In addition, due to the complex structure of the transformer, the vibration noise is transmitted to the sensor through solids, liquids, and gases, the transfer path function is complex, and the decoupling of substructure noise transfer is difficult

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