Lubricant-Adaptive Malfunction Detection for Movable Parts
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Solution Overview
Problem
Conventional malfunction detection methods fail to accurately determine malfunctions in apparatuses with movable parts, such as motors and speed reducers, due to variations in lubricant types, leading to false alarms or missed malfunctions.
Innovation Solution
A malfunction detection device that compares data from sensors on movable parts with thresholds adjusted based on the type of lubricant used, ensuring accurate malfunction detection by varying the comparison criteria according to the lubricant type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed threshold is used for malfunction detection, then the detection method is simple, but false alarms or missed malfunctions occur due to variations in lubricant types
Solution Approach 1:
The patent applies dynamics by making the threshold variable rather than fixed. The threshold is dynamically adjusted based on the lubricant type identified from vibration signal characteristics. This allows the detection system to adapt to different lubricant conditions, improving measurement precision while managing complexity through automated identification.
Solution Approach 2:
The patent changes the threshold parameter based on lubricant type. By identifying the lubricant type from vibration signal characteristics and selecting corresponding thresholds from a predefined set, the system optimizes detection accuracy for different lubricant conditions without requiring complex real-time threshold calculation.
2Reliability
If lubricant-specific thresholds are used, then malfunction detection accuracy is improved, but the detection system becomes more complex
Solution Approach 1:
The patent applies preliminary action by pre-establishing multiple thresholds corresponding to different lubricant types before actual malfunction detection. The system identifies the lubricant type from vibration signal characteristics and selects the appropriate pre-prepared threshold, avoiding the need for complex real-time threshold calculation while improving reliability.
Solution Approach 2:
The patent creates copies of thresholds for different lubricant types. Instead of developing a complex unified model, the system uses multiple simplified threshold models (one for each lubricant type), selecting the appropriate copy based on lubricant identification from vibration signal characteristics.
Data Source
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AI summary
A malfunction detection device 1 compares detected data on a condition at a predetermined part of an apparatus (2) with a threshold so as to determine a malfunction of the apparatus. The malfunction detection device 1 varies the threshold in accordance with a type of a lubricant used for movable parts of the apparatus.