Rotation Angle Detection Using Signal Frequency Analysis
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Solution Overview
Problem
Conventional rotation angle detection systems fail to detect foreign substances early, leading to delayed maintenance and repeated malfunctions due to difficulties in identifying the cause of malfunctions, which can result in corrosion or damage from substances like cutting fluids and chips.
Innovation Solution
A rotation angle detection apparatus with a frequency analyzing unit that calculates the frequency characteristics of signals from a track unit, allowing for the detection of higher-order frequency components indicative of foreign substance entry, enabling early detection and preventive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional malfunction detection methods (amplitude threshold or electrical angle comparison) are used, then malfunction detection is achieved, but detection occurs only after breakdown and cause identification is difficult
Solution Approach 1:
The patent performs preliminary frequency analysis of detection signals to identify foreign substances before they cause complete breakdown. By calculating frequency characteristics and comparing them against stored reference frequencies of known foreign substances, the system detects potential issues early, allowing preventive maintenance before actual malfunction occurs.
Solution Approach 2:
The patent introduces frequency characteristic analysis as an intermediary detection mechanism. Instead of directly detecting malfunction symptoms, the system uses frequency analysis of detection signals as an intermediate step to indirectly identify the presence of foreign substances, enabling earlier and more accurate cause identification.
2Loss of time
If maintenance components are prepared in advance, then recovery time is reduced, but storage space and management man-hours increase
Solution Approach 1:
The system performs preliminary detection of foreign substances and identifies specific maintenance needs before actual malfunction occurs. This allows maintenance components to be prepared on-demand based on actual detection results, rather than pre-storing all possible components, thereby reducing storage requirements while maintaining quick response capability.
Solution Approach 2:
The patent implements a feedback mechanism where frequency analysis results provide information about the specific condition and required maintenance. This feedback loop enables precise preparation of only the necessary maintenance components based on actual detection data, optimizing inventory management and reducing storage needs.
3Reliability
If amplitude-based abnormality detection is used, then some malfunctions are detected, but the cause cannot be specified and appropriate maintenance cannot be carried out
Solution Approach 1:
The patent changes the detection parameter from simple amplitude measurement to frequency characteristic analysis. By analyzing the frequency spectrum of detection signals and comparing it with reference frequencies of known foreign substances, the system not only detects abnormalities but also identifies the specific cause, preserving critical diagnostic information.
Solution Approach 2:
The patent introduces frequency characteristic comparison as an intermediary analysis step between signal detection and cause identification. This intermediary process extracts diagnostic information by comparing detected frequency patterns against a database of known foreign substance signatures, enabling accurate cause specification.
Data Source
AI summary
A rotation angle detection apparatus includes a rotator having a track unit to detect the rotation angle of a rotation axis; a detection unit disposed in correspondence with the track unit; a rotation angle calculation unit for calculating the rotation angle of the rotation axis based on signals generated by the detection unit; a rotation speed calculation unit for calculating the rotation speed of the rotation axis; and an abnormality detection unit for detecting an abnormality. The abnormality detection unit includes a frequency analyzing unit for calculating the frequency characteristic of the signals; a storage unit for storing the number of the signals per revolution of the rotator; a signal frequency calculation unit for calculating a signal frequency; and a determination unit for detecting the abnormality in the detection apparatus, when the frequency characteristic includes a component of a higher order than the signal frequency.