Vibration Amplitude-Speed Model for Rotating Machine Resonance
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Solution Overview
Problem
Existing monitoring systems for electrical rotatory machines struggle to account for real-time changes in resonance behavior, leading to impractical and time-consuming regular commissioning processes to adjust for shifts or changes in resonance areas.
Innovation Solution
A system and method that model the dependence of vibration amplitude on speed using measurement data, compare this model with a resonance model to determine resonance areas, and output these areas for user notification and machine control adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If regular commissioning with resonance determination is performed to detect shifted resonance ranges, then measurement precision is improved, but loss of time and productivity deteriorate
Solution Approach 1:
The monitoring system performs self-diagnosis by automatically detecting resonance ranges through continuous vibration measurement and spectral analysis. The system independently identifies when resonance occurs and triggers appropriate responses without requiring external commissioning personnel, thereby eliminating time-consuming manual commissioning while maintaining detection accuracy.
Solution Approach 2:
The system continuously monitors vibration signals, compares them against learned normal operation patterns, and provides feedback when resonance conditions are detected. This real-time feedback mechanism enables the system to automatically adapt and respond to resonance events without requiring periodic manual commissioning, resolving the contradiction between detection accuracy and time loss.
2Reliability
If inverter control is reprogrammed to avoid critical speeds, then reliability is improved, but adaptability deteriorates when resonance behavior changes
Solution Approach 1:
The monitoring system dynamically adapts to changing resonance conditions by continuously learning the machine's vibration characteristics during normal operation. When resonance behavior shifts, the system automatically updates its models and thresholds, enabling it to maintain reliability without requiring fixed pre-programmed avoidance strategies. This dynamic adaptation resolves the contradiction between reliability and adaptability.
Solution Approach 2:
The system continuously monitors vibration patterns and provides feedback about actual resonance conditions, allowing the control strategy to adapt in real-time. This feedback loop enables the system to maintain reliable operation even when resonance characteristics change, eliminating the need for static pre-programming while preserving operational stability.
3Ease of operation
If vibration measurement is performed away from mechanical components, then ease of operation is improved, but measurement precision deteriorates due to external factors
Solution Approach 1:
The system uses feedback from multiple vibration sensors placed at accessible locations to reconstruct the vibration state of hard-to-reach components. By analyzing the propagation patterns and correlations of vibration signals across different measurement points, the system can accurately infer conditions at critical locations without requiring direct contact with those components, thus maintaining both accessibility and precision.
Solution Approach 2:
The system uses intermediate measurement points on easily accessible surfaces as proxies for measuring conditions at difficult-to-reach mechanical components. Through signal processing and correlation analysis, these intermediate measurements serve as accurate indicators of the actual resonance conditions, resolving the contradiction between measurement accessibility and precision.
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 real-time monitoring and adjustment for resonance behavior changes, reducing the need for frequent commissioning and minimizing the risk of mechanical stress and early failure in electrical rotatory machines.
Implementation Method 1
Vibration is one of the most important parameters for machine condition monitoring, as it provides a good indicator of potential faults and damage within the relevant components
Implementation Method 2
A common cause of increased vibration levels in electrical rotating machines is operation near a mechanical resonance frequency. Mechanical resonance is generally known to occur when the vibration level of a mass or mechanical structure increases near its respective natural frequency.
Data Source
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AI summary
The invention relates to a method for monitoring an electric rotary machine (501), wherein: - measurement data (507, 509) relating to the operation of the machine are provided (100), - a dependence of a speed component of the vibration amplitude on the rotational speed is modeled from the measurement data (507, 509) in order to obtain a vibration amplitude-speed component model (201, 301, 401), - one or more speed ranges (202, 302a, 302b, 302c, 402) of the vibration amplitude are determined (105) on the basis of the vibration amplitude-speed component model (201, 301, 401) in which the vibration amplitude reaches its maximum value (203, 303a, 303b, 303c, 403), - for the determined speed ranges (202, 302a, 302b, 302c, 402) the behavior of the vibration amplitude according to the vibration amplitude speed component model (201, 301, 401) is compared with a resonance model to determine whether in the corresponding speed ranges (202, 302a,302b, 302c, 402) a resonance is present, - the determined speed ranges (202, 302a, 302b, 302c, 402) containing a resonance are output.