Fiber Rope Damage Detection with Invariant Sensor Models
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Solution Overview
Problem
Existing technologies face difficulties in non-destructively analyzing the degree of damage in fiber ropes.
Innovation Solution
An analysis apparatus and method utilizing an invariant model to analyze the relationship between time-series data from sensors attached to or around the fiber rope, enabling non-destructive damage assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional analysis methods are used to assess fiber rope damage, then measurement precision can be achieved, but the fiber rope undergoes destructive testing which prevents non-destructive analysis
Solution Approach 1:
The patent replaces mechanical destructive testing with acoustic emission detection. Sensors detect acoustic signals generated by fiber rope damage, allowing damage assessment without physical disruption to the fiber rope structure.
Solution Approach 2:
The patent introduces acoustic emission signals as an intermediary between the fiber rope damage and the measurement system. The acoustic signals carry damage information without requiring direct mechanical contact or destructive testing of the fiber rope.
2Measurement precision
If multiple sensors are attached to monitor fiber rope damage, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent combines multiple sensor measurements into a unified acoustic emission detection system. By merging the data from multiple sensors through the invariant model, the system achieves improved measurement precision while managing complexity through integrated processing.
Solution Approach 2:
The acoustic emission sensors serve multiple functions: detecting damage events, characterizing damage type, and monitoring damage progression. This multi-functionality reduces the need for separate specialized sensors, managing system complexity while improving measurement capabilities.
Data Source
AI summary
To provide an analysis apparatus, an analysis method, and a program that are non-destructively analyze a degree of damage of a fiber rope, an analysis apparatus includes an analysis unit that analyzes the degree of damage of the fiber rope by using an invariant model indicating a relationship between a plurality of pieces of time-series data based on measurement data of one or more sensors attached to or around the fiber rope.