Transformer Winding Clamping Status Classification via Vibration Analysis
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Solution Overview
Problem
Existing methods for assessing the status of winding clamping in power transformers, which are immersed in oil-filled transformer tanks, are inadequate as they fail to accurately account for multiple resonance frequencies and are not easily accessible for direct evaluation, leading to potential mechanical stress and operational failures.
Innovation Solution
A method involving a mechanical force impulse to induce vibration in the transformer windings, measuring the induced voltage, transferring it to the frequency domain, and identifying local maxima to classify the winding clamping status as defective or sufficient based on the presence of distinct maxima, allowing for synchronous analysis of multiple windings and cross-referencing datasets for reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a mechanical force impulse is applied to induce vibration in transformer windings for assessment, then the accessibility and non-invasive nature of the assessment is improved, but the accuracy of winding clamping status classification deteriorates due to multiple resonance frequencies and overlapping signals
Solution Approach 1:
The patent segments the complex vibration signal into individual frequency components through Fourier transformation, allowing separate analysis of each resonance frequency. This segmentation enables accurate identification of clamping status despite the presence of multiple overlapping resonance frequencies in the composite signal.
Solution Approach 2:
The patent utilizes mechanical vibration induced by force impulses to excite the transformer windings. By analyzing the resonance frequencies and amplitude ratios of these vibrations, the system can non-invasively assess the winding clamping status without direct contact with the windings themselves.
2Productivity
If multiple windings are assessed simultaneously through synchronous analysis, then the productivity and efficiency of the assessment process is improved, but the device complexity increases due to the need for multi-channel measurement and data processing systems
Solution Approach 1:
The patent merges the assessment of multiple windings into a single synchronous measurement process. By applying force impulses and measuring vibrations across multiple windings simultaneously, the system achieves efficient multi-winding assessment while using integrated measurement channels that reduce overall system complexity.
Solution Approach 2:
The assessment system is designed with universal measurement capabilities that can evaluate multiple different winding configurations simultaneously. The same measurement and analysis methodology applies to any winding, making the system multi-functional and adaptable without requiring winding-specific customization.
3Measurement precision
If direct visual or manual control methods are used to assess winding clamping, then the measurement precision and direct observation capability are improved, but the ease of operation deteriorates due to the need to remove the transformer from its oil-filled tank
Solution Approach 1:
The patent introduces vibration measurement and frequency analysis as an intermediary method to indirectly assess winding clamping status. This intermediary approach allows evaluation of the clamping condition without direct visual contact, transmitting information about the mechanical state through vibration characteristics that can be measured externally.
Solution Approach 2:
The patent replaces manual visual inspection methods with an automated vibration-based measurement system. This substitution eliminates the need for physical access to the windings while providing objective, quantifiable data about clamping status through mechanical vibration analysis.
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
This approach enables accurate classification of winding clamping status by identifying distinct maxima in the frequency domain, indicating sufficient or insufficient clamping, and facilitates cross-relation analysis between windings, improving the reliability of assessments and detecting potential defects in power transformers.
Implementation Method 1
applying a mechanical force impulse on an impact area of the transformer tank, so that the at least winding is mechanically excited to vibration
Implementation Method 2
a voltage is induced within the at least one winding therewith
Data Source
AI summary
A method for classifying a status of a winding clamping of a power transformer immersed in an oil filled transformer tank, the power transformer including at least one transformer coil with at least one clamped electrical winding arranged on a transformer core, includes the following steps: applying a mechanical force impulse on an impact area of the transformer tank, so that the at least one clamped electrical winding is mechanically excited to vibration and a voltage is induced within the at least one clamped electrical winding; measuring the induced voltage of the at least one clamped electrical winding for a period of time during vibration to generate measurement data; transferring the measurement data from the time domain into the frequency domain and providing a respective dataset comprising the measurement data in the frequency domain; and searching for local maxima within the measurement data in the frequency domain of the dataset.