Rigid Rotor Dynamic Balancing Using Influence Coefficient Libraries
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Solution Overview
Problem
Current dynamic-balance tests for rigid rotors in energy storage power plants suffer from low efficiency, manual calculation errors, and insufficient utilization of historical test data, leading to non-standardized processes and ineffective rotor imbalance correction.
Innovation Solution
A method and apparatus utilizing a counterweight influence coefficient library, initial vibration data, and automated calculations to determine target test weight adjustments, ensuring standardized and efficient rotor balancing by integrating historical test data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calculation is used for dynamic-balance test, then calculation can be performed at single measuring point, but test efficiency is low and calculation errors may exist
Solution Approach 1:
The patent replaces manual mechanical calculation with automated computer-based calculation systems. The dynamic balance calculation device automatically processes vibration data from multiple measuring points using software algorithms, eliminating manual calculation errors and significantly improving test efficiency while maintaining high measurement precision through systematic data processing.
Solution Approach 2:
The patent divides the rotor into multiple discrete measuring points for vibration data collection. By segmenting the measurement process into multiple localized points around the rotor perimeter, the system comprehensively captures imbalance characteristics that single-point measurements would miss, thereby improving both accuracy and efficiency through distributed sensing.
2Device complexity
If manual calculation at single measuring point is used, then process is simple, but calculation process is cumbersome and not standardized
Solution Approach 1:
The patent creates a universal dynamic balance calculation device that can handle multiple measuring points, different rotor configurations, and various test scenarios through a single standardized software platform. This multi-functional system eliminates the need for separate manual calculation procedures for different cases, providing consistent standardized processing across all test situations.
Solution Approach 2:
The patent transforms the test process from manual parameter manipulation to automated parameter processing. The system automatically manages multiple vibration parameters from different measuring points, calculates influence coefficients, and determines correction weights through standardized algorithms, eliminating the cumbersome manual parameter handling and achieving full process standardization.
3Productivity
If automated calculation system is implemented, then test efficiency improves, but historical test data cannot be effectively used
Solution Approach 1:
The patent implements feedback mechanisms where historical test data and influence coefficient libraries are continuously referenced during new tests. The system compares current vibration measurements with historical patterns, uses stored influence coefficients to guide correction weight calculations, and feeds back results to update the database, ensuring historical data effectively guides and improves ongoing testing while maintaining high efficiency.
Data Source
AI summary
A dynamic-balance test method for a rigid rotor includes: acquiring a counterweight influence coefficient library, initial vibration swing data and an initial vibration vector; determining an initial test weight mass and an initial test weight phase according to the initial vibration swing data and the counterweight influence coefficient library, and triggering a speed increase test according to the initial test weight mass and the initial test weight phase to obtain a target vibration vector; determining a target configuration influence coefficient according to the initial vibration vector, the target vibration vector and the initial test weight mass; calculating a residual vibration swing value; and determining a target test weight adjustment scheme according to the residual vibration swing value, a rotor operation vibration standard, a target test weight mass and a target test weight phase.