Malfunction Detection Using Staggered Sensor Sampling Signals
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Solution Overview
Problem
Existing malfunction detection systems cannot effectively detect malfunctions in high frequency bands higher than the sampling frequency of sensors, such as accelerometers, which limits their ability to identify issues in apparatuses.
Innovation Solution
A malfunction detection device that initiates sensor sampling at multiple start timings and combines sampling signals to enhance frequency resolution, allowing for the detection of malfunctions in higher frequency bands by generating a combined sampling signal with a higher frequency than the original sensor's sampling frequency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sensor samples an apparatus at a predetermined sampling frequency, then the sensor can detect vibrations within its sampling range, but it cannot detect malfunctions in high frequency bands higher than the sampling frequency
Solution Approach 1:
The patent divides the sampling process into multiple segments by using multiple sensors with different sampling frequencies. Each sensor captures vibration data at its own sampling rate, and the results are integrated to achieve comprehensive frequency coverage. This segmentation allows the system to detect high-frequency malfunctions without requiring a single sensor to operate at excessively high sampling frequencies.
Solution Approach 2:
The patent merges the detection results from multiple sensors with different sampling frequencies to create a comprehensive malfunction detection capability. By combining the vibration data and analysis results from sensors operating at different sampling rates, the system achieves the ability to detect malfunctions across a broader frequency range, including high-frequency bands that would be inaccessible to a single sensor.
2Reliability
If multiple sensors with different sampling frequencies are used to detect high frequency malfunctions, then detection capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent implements a dynamic sensor configuration where sensors are selectively activated based on the detected vibration characteristics. When high-frequency vibrations are detected, the system dynamically adjusts by engaging sensors with higher sampling frequencies. This dynamic approach allows the system to maintain high reliability for malfunction detection while reducing device complexity by not requiring all sensors to operate simultaneously at maximum capacity.
Solution Approach 2:
The patent introduces a control unit that acts as an intermediary between multiple sensors and the analysis system. This control unit coordinates the operation of sensors with different sampling frequencies, manages data integration, and determines when to activate specific sensors based on detected vibration patterns. The intermediary control unit simplifies the overall system complexity by providing centralized management of the multi-sensor configuration.
Data Source
AI summary
A control unit causes a sensor to start sampling at a plurality of start timings different from each other. The control unit combines sampling signals obtained by the start of the sampling at the different start timings, and detects a malfunction of an apparatus in accordance with the combined sampling signal.