Power Device Vibroacoustic Monitoring for Component Fault Isolation
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Solution Overview
Problem
Conventional methods fail to accurately identify defects in power devices, such as on-load tap changers, due to the complex superposition of vibroacoustic signals from individual components during operation, which can lead to performance issues and potential power outages.
Innovation Solution
A method and device for monitoring power devices by obtaining frequency spectra of physical components, measuring vibroacoustic signals, and determining the signal contribution of each component based on these spectra, using sensors like accelerometers and optical sensors, to identify deviations and abnormal behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional vibroacoustic monitoring methods are used to monitor power devices, then the monitoring can be performed without disassembly, but the defect identification precision is insufficient due to complex superposition of signals from multiple components
Solution Approach 1:
The patent applies segmentation by separating the monitoring process into two distinct phases: offline component-level measurement where each physical component's frequency spectrum is measured individually, and online device-level monitoring where the superposed vibroacoustic signal is analyzed. This segmentation allows the system to identify which specific component contributes to the signal at any given moment, resolving the superposition problem while maintaining ease of operation.
2Loss of information
If signal processing is performed to identify defective components in the superposed vibroacoustic signal, then defect location can be determined, but the complexity of the monitoring system increases due to the need for offline measurements and signal processing algorithms
Solution Approach 1:
The patent applies preliminary action by performing offline measurements to obtain the frequency spectrum of each individual physical component before assembly. These pre-acquired spectral signatures are stored and later used during online monitoring to identify defective components. This preliminary preparation simplifies the online monitoring process, as the system only needs to compare the measured superposed signal against the pre-stored component spectra rather than performing complex decomposition in real-time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise identification of defective components in power devices without disassembly, allowing for timely replacement and preventing failures, thereby maintaining device performance and avoiding outages.
Implementation Method 1
A power device, in particular comprising physical components operating mechanically, more particularly a tap changer, e.g., an on-load tap changer, OLTC, exhibits a vibroacoustic signal with a unique signature belonging to the assembled power device as a whole
Implementation Method 2
obtaining at least one frequency spectrum of at least one physical component of the power device, wherein the at least one frequency spectrum comprises at least one eigenfrequency of the at least one physical component of the power device
Data Source
AI summary
The present disclosure relates to a method for monitoring a power device. The method includes obtaining at least one frequency spectrum of at least one physical component of the power device, wherein the at least one frequency spectrum comprises at least one eigenfrequency of the at least one physical component of the power device; measuring, using at least one sensor, a vibroacoustic signal of the power device; and determining a signal contribution of the at least one physical component of the power device to the vibroacoustic signal based on the obtained at least one frequency spectrum. The present disclosure also relates to a respective monitoring device and a system including at least one sensor and a monitoring device.