Statistical Adjustment Response Analysis for Rotor Systems
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Solution Overview
Problem
Current methods fail to accurately diagnose adjustment errors and system failures in mechanical equipment, particularly in rotor systems, leading to inefficient resource utilization and incorrect troubleshooting.
Innovation Solution
A statistical analysis method that determines the probability of adjustment permutations based on the error between predicted and measured responses, providing a list of likely causes for variance and assisting in diagnosing sensor errors and mechanical faults by comparing initial and post-adjustment vibrations with predicted results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional adjustment methods are used without statistical analysis, then the troubleshooting process is simple, but the accuracy of diagnosing adjustment errors and system failures is low
Solution Approach 1:
The patent replaces traditional mechanical troubleshooting methods with a statistical analysis system that uses probability calculations and data comparison to diagnose adjustment errors. The system substitutes manual inspection and trial-and-error adjustment with automated statistical evaluation of measured versus predicted responses.
Solution Approach 2:
The patent introduces statistical analysis as an intermediary between the adjustment process and the diagnosis outcome. By measuring the response, comparing it with predicted values, and calculating probabilities of various adjustment permutations, the system provides an intermediate layer of analysis that bridges the gap between raw measurements and accurate diagnosis.
2Productivity
If repeated dynamic adjustment efforts are performed without accurate diagnosis, then adjustment attempts can be made, but resource utilization is inefficient
Solution Approach 1:
The patent performs preliminary statistical analysis before making further adjustment attempts. By calculating the probability of various adjustment permutations being implemented and identifying the most likely causes of variance, the system prepares a targeted troubleshooting path that avoids unnecessary repeated adjustments and optimizes resource utilization.
3Reliability
If adjustment errors are not accurately identified, then the equipment can continue operating, but incorrect troubleshooting leads to further errors
Solution Approach 1:
The patent implements a feedback mechanism where the measured response from the equipment is compared with the predicted response, and the variance is analyzed to determine the probability of specific adjustment permutations. This feedback loop continuously refines the diagnosis by incorporating actual measurement data and updating the likelihood of various adjustment errors, thereby improving troubleshooting reliability.
Data Source
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AI summary
The present disclosure relates to a method to determine, from a measured result and an assumed adjustment set, the probability that a permutation to the assumed adjustment set was implemented or other error, such as a sensor error, is occurring. The determination of probability of a permutation of the adjustment set may be based on the error between the predicted response and the measured actual response for the assumed adjustment set and permutations of the assumed adjustment set. A number of statistical comparisons may be performed between the assumed adjustment set and the permutation sets to determine which are closer to the measured actual response. A probability value may be assigned to each adjustment set as to the likelihood of their having been implemented.