Sampled Signal Merging for Higher-Fidelity Fault Detection
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Solution Overview
Problem
Condition monitoring systems face challenges in effectively utilizing signals from multiple data collection systems that operate at different sampling rates and times, as conventional methods struggle to integrate and analyze these disparate signals for fault detection.
Innovation Solution
A method that involves determining shifts between sampled signals from different data collection systems, merging them to create a higher fidelity signal, and analyzing this merged signal for fault indications, which includes selecting specific sampled points, calculating shifts, and generating a merged signal to enhance sampling rate and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple data collection systems operate at different sampling rates, then each system can capture valuable information independently, but the fault detection analysis cannot effectively utilize the information from multiple systems
Solution Approach 1:
The patent merges multiple sampled signals from different data collection systems into a single merged signal by aligning their time dimensions. The system determines time shifts between signals and combines them into one unified signal that preserves information from all source systems, enabling effective fault detection analysis.
Solution Approach 2:
The patent introduces a signal processing intermediary that acts as a mediator between multiple data collection systems with different sampling rates. This intermediary aligns and merges the disparate signals into a common time framework, allowing the fault detection system to utilize information from all sources without being constrained by their different sampling characteristics.
2Measurement precision
If signals are sampled at different rates, then each system maintains its own sampling characteristics, but the signals cannot be directly compared or analyzed together
Solution Approach 1:
The patent changes the time parameter of signals by determining and applying time shifts to align signals sampled at different rates. The system calculates the temporal displacement between signals and adjusts their time parameters to create a common reference framework, enabling direct comparison while preserving the original sampling characteristics of each signal.
3Loss of information
If conventional methods are used to handle signals from multiple data collection systems, then the systems operate independently, but the valuable complementary information is lost
Solution Approach 1:
The patent merges multiple sampled signals from different data collection systems into a single merged signal by aligning their time dimensions. The system determines time shifts between signals and combines them into one unified signal that preserves information from all source systems, enabling effective fault detection analysis.
Data Source
AI summary
A method of monitoring a condition of a system is provided. The method includes receiving a first sampled signal having first sampled points sampled at a first sampling rate, and receiving a second sampled signal having second sampled points sampled at a second sampling rate. Both the first and second sampled signals originate from sensing over a dimension in the same sensing process. The method further includes determining a first shift over the dimension between the first sampled signal and the second sampled signal at a first sampled point of the first sampled signal, determining a second shift over the dimension between the first sampled signal and the second sampled signal at a second sampled point of the first sampled signal, the second sampled point being different than the first sampled point, determining a calculated shift that is a function of the first shift and the second shift, generating a merged signal that includes each of the first sampled points and each of the second sampled points shifted based on the calculated shift, determining whether there is at least a threshold indication of failure based on analysis of the merged signal, and disabling or recommending for removal the component in response to determining that there is at least a threshold indication of failure.