Machine Tool Maintenance Scheduling Using Adaptive Health Assessment
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Solution Overview
Problem
Preventive maintenance for machine tools requires downtime, increasing operation costs and necessitating more efficient maintenance strategies to minimize unexpected failures.
Innovation Solution
A method and system for managing machine tool maintenance by assessing health data over cycles, triggering first and second level maintenance events based on tolerance thresholds, and modulating the time interval between assessments according to maintenance event occurrences, reducing unnecessary downtime and improving maintenance efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If preventive maintenance is performed regularly on machine tools, then the likelihood of unexpected failure is reduced, but downtime increases and operation costs increase
Solution Approach 1:
The patent implements dynamic adjustment of maintenance intervals based on actual machine health data. The system continuously monitors health parameters and adapts the assessment cycle frequency, transitioning from static preventive maintenance schedules to dynamic condition-based maintenance. This allows extending intervals when health is stable and shortening them when degradation is detected, optimizing both reliability and downtime.
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where health assessment results directly influence future maintenance decisions. Health data is continuously collected, analyzed, and fed back to adjust subsequent assessment cycles and maintenance timing. This feedback loop enables the system to learn from actual machine behavior and optimize maintenance scheduling accordingly.
2Reliability
If preventive maintenance is performed regularly on machine tools, then the likelihood of unexpected failure is reduced, but operation costs increase
Solution Approach 1:
The system changes the parameter of maintenance interval frequency based on actual machine condition. Instead of using fixed time-based intervals, the system adjusts assessment and maintenance timing according to measured health parameters. This allows maintenance to be performed only when necessary, reducing unnecessary maintenance activities and associated costs while maintaining reliability.
3Productivity
If health assessment cycles are performed frequently, then maintenance can be optimized, but system complexity and resource consumption increase
Solution Approach 1:
The system dynamically adjusts the frequency of health assessment cycles rather than using a fixed high-frequency schedule. Assessment intervals are adapted based on machine health status, operational conditions, and historical data. This dynamic approach maintains high maintenance efficiency when needed while reducing system complexity and resource consumption during stable periods.
Data Source
AI summary
There are described methods and system for managing machine tool maintenance. The method comprises assessing health data for the machine tool over health assessment cycles, the health data indicative of a performance of the machine tool; triggering first level maintenance events on the machine tool when the health data falls outside of a tolerance; modulating a time interval between the health assessment cycles as a function of an occurrence of first level maintenance events, wherein the time interval is reduced after first level maintenance events and increased after a given number of consecutive health assessment cycles without first level maintenance events; and triggering second level maintenance events on the machine tool when second level maintenance event conditions are met.