Cable Wire Insertion Verification Using Vibration Analysis
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Solution Overview
Problem
Cable wire insertion into connector housings is prone to errors, leading to incomplete electrical or optical connections, which can cause intermittent signal transmission and are difficult to detect through manual inspection.
Innovation Solution
An insertion verification system using vibration analysis and machine learning to evaluate correct cable wire insertion by analyzing vibration signals from sensors integrated into cable insertion tools or fixtures, determining if the wire is fully inserted and of the correct type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual inspection is used to verify cable wire insertion, then device complexity is reduced, but measurement precision and reliability of insertion verification deteriorate
Solution Approach 1:
The patent replaces manual visual inspection with automated vibration analysis. A vibration sensor detects mechanical vibrations generated during cable wire insertion, and a machine learning model analyzes these vibrations to determine insertion correctness. This substitutes human sensory systems with automated sensing and computational analysis, achieving high precision verification without increasing overall system complexity significantly.
Solution Approach 2:
The patent introduces vibration signals as an intermediary medium to convey insertion status information. Instead of directly observing insertion correctness, the system detects vibrations produced during insertion and uses these as indirect evidence to infer whether the cable wire is correctly positioned. This intermediary approach enables automated, objective verification with high precision.
2Reliability
If automated vibration analysis is implemented for insertion verification, then measurement precision and reliability improve, but device complexity increases
Solution Approach 1:
The system uses the insertion process itself to generate the verification signal. The act of inserting the cable wire naturally produces vibrations that contain information about insertion correctness. The vibration sensor and machine learning model simply capture and analyze these self-generated signals, eliminating the need for separate verification actions or additional active components during the insertion process.
Solution Approach 2:
The patent transforms the physical insertion process into measurable vibration parameters. By monitoring frequency, amplitude, and temporal characteristics of vibrations, the system converts a qualitative visual inspection problem into a quantitative signal analysis problem. The machine learning model processes these parameter changes to reliably determine insertion status.
3Productivity
If traditional inspection methods are used, then ease of operation is maintained, but productivity and time efficiency deteriorate
Solution Approach 1:
The vibration sensor operates continuously during the insertion process, capturing vibration signals in real-time. The machine learning model processes these signals as they occur, providing immediate verification results without interrupting the insertion workflow. This continuous monitoring approach eliminates the need for separate inspection steps, maintaining operational simplicity while significantly improving verification speed and productivity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides precise and automated verification of correct cable wire insertion, reducing connection failures and human effort, and ensuring stable connections.
Implementation Method 1
receiving a vibration signal from a vibration sensor, the vibration signal representing a vibration caused by insertion of a cable wire into a cable cavity
Data Source
AI summary
A method for cable wire insertion verification includes, at an insertion verification system, receiving a vibration signal from a vibration sensor. The vibration signal represents vibration caused by insertion of a cable wire into a cable cavity of a cable connector housing. The vibration signal is input to an insertion verification model trained to evaluate whether input vibration signals are consistent with correct cable wire insertion. The insertion verification model outputs an indication that the vibration signal is consistent with correct insertion of the cable wire into the cable cavity.