Wire Bonding Maintenance Timing Using Predictive Diagnosis

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Solution Overview

Problem

Conventional wire bonding devices lack effective maintenance methods to ensure optimal performance and efficiency.

Innovation Solution

A wire bonding device equipped with a prediction part to forecast maintenance needs based on time-series diagnosis data, setting a threshold for maintenance based on predicted changes, and a notification part to inform when maintenance is required.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional maintenance methods are used without prediction, then maintenance can be performed, but operational downtime cannot be minimized and maintenance timing is not optimized

Engineering Contradiction:

Improvemaintenance timing accuracyVSAvoidoperational downtime

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The prediction part performs preliminary analysis of time-series diagnosis data to forecast future device states before actual degradation occurs. By predicting when maintenance will be needed, the system enables advance scheduling of maintenance activities, preventing unexpected failures and minimizing operational downtime.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously collects diagnosis data, processes it through the prediction part, and uses the predicted results to adjust maintenance scheduling. This closed-loop feedback mechanism allows the maintenance timing to be dynamically optimized based on actual device performance trends rather than following fixed schedules.

Inventive Principle:

Principle #23Feedback

2Productivity

If maintenance is performed based on fixed schedules, then maintenance can be planned, but it may occur too early or too late relative to actual device needs

Engineering Contradiction:

Improvemaintenance efficiencyVSAvoidmaintenance timing accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The maintenance scheduling system transitions from static fixed schedules to dynamic prediction-based timing. The prediction part continuously analyzes device diagnosis data and adjusts the predicted maintenance timing according to actual device degradation trends, allowing maintenance to be performed at the optimal moment rather than at predetermined intervals.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the parameter basis for maintenance scheduling from fixed time intervals to predicted degradation thresholds. By monitoring diagnosis data trends and predicting when parameters will reach critical levels, the system determines maintenance timing based on actual device condition rather than arbitrary time schedules.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12616049B2Wire bonding device, maintenance method and non-transitory computer-readable recording medium recording program

Publication Date: 2026.04.28 YAMAHA ROBOTICS CO LTD

AI summary

A wire bonding device for bonding a wire to a target includes: a prediction part which predicts, based on time-series data of a diagnosis result regarding an operation of the wire bonding device, a transition of a change from the diagnosis result in an initial state; and a setting part which sets a time point at which the prediction part predicts that an amount of change from the diagnosis result in the initial state reaches a first threshold value as a time point for performing maintenance of the wire bonding device. The wire bonding device allows the maintenance to be performed suitably.