Transient Vibration Data Region Identification
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Solution Overview
Problem
The vast volume of transient vibration data collected from machinery is unmanageable, requiring effective methods to identify and analyze specific regions of interest for diagnostic purposes, as conventional analysis tools are inadequate for processing and displaying such large datasets.
Innovation Solution
A graphical tool and method that allows users to identify and specify a region of interest within transient vibration data, using construction modes such as delta time, delta rpm, or fixed number construction modes, to produce derived plots like cascade, average shaft centerline, and Bode/Nyquist plots, facilitating data analysis and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If transient vibration data is collected continuously for extended periods with high sampling rates, then the volume of data available for analysis increases, but the data becomes unmanageable and difficult to analyze
Solution Approach 1:
The patent divides the continuous vibration data into discrete segments or windows of fixed duration. Each segment is independently analyzed to identify transient events. This segmentation transforms the unmanageable continuous data stream into manageable discrete units that can be processed individually, directly resolving the contradiction between data volume and processing complexity.
Solution Approach 2:
The patent extracts and isolates specific transient events from the continuous vibration data by detecting abrupt changes in signal characteristics. By extracting only the relevant transient portions rather than analyzing the entire continuous dataset, the system reduces processing complexity while maintaining analytical completeness for diagnostic purposes.
2Reliability
If the entire continuous waveform is analyzed, then sufficient analysis coverage is achieved, but the analysis becomes computationally intensive and time-consuming
Solution Approach 1:
The patent performs preliminary processing of the vibration data by computing envelope signals and identifying potential transient regions before conducting detailed analysis. This preliminary action filters out non-transient portions of the data, allowing the system to focus computational resources only on regions containing transient events, thereby reducing overall analysis time while maintaining reliability.
Solution Approach 2:
The patent applies partial analysis by focusing computational effort only on segments containing transient events rather than analyzing the entire continuous waveform. By performing analysis only where necessary (on transient-containing segments), the system achieves sufficient diagnostic coverage with significantly reduced computation time compared to analyzing the complete dataset.
3Ease of operation
If vibration data is broken into smaller components for analysis, then the data becomes more manageable, but additional processing steps and parameters are required
Solution Approach 1:
The patent implements a universal processing framework that handles multiple types of vibration analysis (continuous, transient, impact) through a single segmented analysis approach. By designing the system to universally apply segmentation and envelope detection across different data types, the complexity of processing methods is standardized and simplified, making the system easier to operate while maintaining versatility.
Data Source
AI summary
A method and apparatus identifies a region of interest of transient vibration data needing analysis and provides context and construction for analytical plots. The method provides transient data, determines a region of interest of the transient data, specifies a construction mode corresponding to a derived graphical display of the transient data, and specifies one or more construction parameters corresponding to the specified construction mode. The method also processes the transient data to produce at least one derived plot based on the transient data, the region of interest, the specified construction mode, and the specified construction parameters. This method may be performed by a graphical tool having a hardware module and a software module. The hardware module including a processor, a memory, a display, and a communicator, and the software module including a plotting module and a plot control module.