Sensor Processing System Low-Frequency Reduction Circuits

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Solution Overview

Problem

Existing sensor processing systems face challenges in detecting small changes in sensitivity due to disconnection failures or other issues, leading to reduced fault detection and detection accuracy.

Innovation Solution

A sensor processing system with multiple reduction circuits, each connected to a corresponding sensor to reduce low-frequency components of sensor outputs, enhancing fault detection accuracy by adding and processing outputs from multiple sensors, and utilizing comparators to determine sensor anomalies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple sensors are used to improve detection accuracy, then fault detection accuracy improves, but device complexity increases due to multiple reduction circuits and processing components

Engineering Contradiction:

Improvefault detection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system divides the sensor processing function into multiple independent reduction circuits, each handling one sensor's output. This segmentation allows parallel processing of multiple sensor signals while maintaining modularity, making the complex system manageable and easier to implement

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Multiple sensor outputs are combined through addition in the control circuit to produce a composite signal. This merging of multiple processed signals enhances detection accuracy by integrating information from multiple sensors while maintaining a relatively simple final processing stage

Inventive Principle:

Principle #5Merging (Combining)

2Measurement precision

If low-frequency components are reduced to improve fault detection, then detection accuracy improves, but useful low-frequency information may be lost

Engineering Contradiction:

Improvedetection accuracyVSAvoidlow-frequency information loss

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The reduction circuits apply partial filtering by reducing low-frequency components rather than completely eliminating them. This partial action approach removes enough low-frequency noise to improve detection accuracy while preserving some low-frequency information that may still be useful

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system changes the frequency domain parameters of sensor outputs by reducing low-frequency components. This parameter transformation enhances the detectability of fault signals while attempting to maintain essential information content in the processed signals

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11802885B2Sensor processing system, sensor system, and sensor processing method

Publication Date: 2023.10.31 PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD

AI summary

A sensor processing system includes a plurality of reduction circuits. The plurality of reduction circuits correspond to a plurality of sensors on a one-to-one basis. Each of the plurality of reduction circuits is electrically connected to an output terminal of a corresponding one of the plurality of sensors to reduce a low-frequency component of a sensor output of the corresponding one of the plurality of sensors.