Rotary Machine Diagnostic Device Vibration Mode Analysis
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Solution Overview
Problem
Current rotary machine diagnostic systems face challenges in accurately specifying the failure occurrence place and inferring the failure cause due to ambiguity in vibration frequency analysis and the need for actual data or new installation conditions for effective abnormality detection.
Innovation Solution
A rotary machine diagnostic device and method that utilize an input unit for receiving calculation condition data and measured state values, including vibration data, rotation speed, and phase calculation data, with a calculation unit to identify vibration modes and infer failure causes, and an output unit to display the results, enabling precise failure occurrence place specification and cause inference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If vibration data is converted to single conversion data based on one frequency type, then the diagnostic process is simplified, but the ability to specify abnormality cause accurately deteriorates
Solution Approach 1:
The patent segments the frequency spectrum into multiple frequency types (first frequency type, second frequency type, etc.) and processes each separately to generate multiple conversion data sets. This allows the system to maintain diagnostic simplicity while improving accuracy by analyzing distinct frequency components independently, thereby resolving the contradiction between process simplicity and specification accuracy.
Solution Approach 2:
The patent introduces a new dimension of analysis by considering multiple frequency types simultaneously rather than converting all vibration data to a single frequency representation. This dimensional expansion enables the system to distinguish between different abnormality causes that manifest at different frequencies, improving specification accuracy without proportionally increasing overall complexity.
2Adaptability or versatility
If vibration data is analyzed without actual failure data or new installation conditions, then the system becomes more adaptable to existing machines, but the accuracy of abnormality detection deteriorates
Solution Approach 1:
The patent changes the approach from requiring actual failure data to using calculated conversion data derived from vibration measurements. By transforming vibration data into multiple conversion data sets based on different frequency types and comparing them against each other, the system achieves high detection accuracy without needing pre-existing failure data or new installation conditions, thus maintaining adaptability while improving precision.
3Measurement precision
If multiple frequency components are analyzed simultaneously, then the ability to infer failure causes improves, but the computational complexity increases
Solution Approach 1:
The patent segments the complex vibration signal into multiple frequency components (first frequency type, second frequency type, etc.) and processes each separately to generate corresponding conversion data. This segmentation allows the system to handle multiple frequency components systematically, improving failure cause inference accuracy while managing computational complexity through structured processing of individual frequency types.
Data Source
AI summary
According to an embodiment, a rotary machine diagnostic device comprises: an input unit that receives calculation condition data and a measured state value of the rotating part, the calculation condition data including reference data and an influence coefficient matrix, and the measured state value including vibration data, a rotation speed, and phase calculation data serving as a basis for phase calculation; a calculation unit that performs an calculation operation of identifying a vibration mode serving as a basis for the specification of the failure occurrence place and the inference of the failure cause, based on the calculation condition data and the measured state value which are received by the input unit; a storage unit in which the calculation condition data, the measured state value, and the vibration mode which is obtained by the calculation unit are loaded; and an output unit that outputs and displays the contents loaded in the storage unit.