Machine Service Scheduling Based on Component SOH Degradation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern machinery, especially those in harsh off-highway environments, face challenges in optimally scheduling servicing due to varying component health degradation rates, leading to inconvenient and uneconomical frequent servicing or risk of performance failure if components are not serviced promptly.
Innovation Solution
A dynamic service interval scheduling method for electric-drive machines that uses monitoring signals from sensors to calculate the state-of-health (SOH) of components based on stored degradation progression profiles, outputting reporting signals indicative of continued service capacities, allowing for optimized scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If servicing is performed more frequently to prevent component degradation, then reliability is improved, but productivity deteriorates due to increased downtime
Solution Approach 1:
The patent implements dynamic service interval adjustment based on real-time component health monitoring. Instead of fixed periodic servicing, the system continuously assesses component conditions and adapts service schedules accordingly, allowing extended intervals when components are healthy and triggering earlier service when degradation is detected, thus resolving the contradiction between reliability and productivity
Solution Approach 2:
The system employs continuous feedback loops where component health data is monitored, analyzed, and used to adjust service intervals. Health sensors provide real-time data about component conditions, which feeds into the service scheduling system to dynamically optimize when servicing is needed, preventing both premature servicing and failure
2Productivity
If servicing is delayed to maintain productivity, then productivity is improved, but reliability deteriorates due to component failure risk
Solution Approach 1:
The system performs preliminary health assessments and predictive analytics to identify components that are likely to fail before they actually fail. This allows proactive scheduling of service during planned downtime rather than reactive emergency repairs, maintaining productivity while preventing failures
Solution Approach 2:
Continuous health monitoring provides feedback that enables the system to distinguish between components that can safely operate longer and those requiring immediate attention, allowing optimized service scheduling that maintains productivity without compromising reliability
3Ease of operation
If fixed interval servicing is used for all components, then ease of operation is improved, but adaptability deteriorates due to varying degradation rates
Solution Approach 1:
The system segments the machine into multiple components with individual health monitoring and degradation profiles. Each component can have its own customized service interval based on its specific degradation rate, operating conditions, and criticality, allowing the system to maintain simplicity in management while achieving high adaptability to varying component needs
Solution Approach 2:
The system dynamically changes service interval parameters based on actual component performance data, environmental conditions, and degradation trends. This allows service schedules to adapt to real-world variations in component wear rates while maintaining a structured approach to scheduling
Data Source
AI summary
Dynamic service interval scheduling in a machine includes receiving monitoring signals for a plurality of components in the machine each indicative of an operating characteristic upon which a state-of-health (SOH) of one of the plurality of components is dependent. An SOH term is calculated for each one of the components based on the monitoring signals and a stored SOH degradation progression profile. SOH reporting signals are outputted based on a respective one of the SOH terms. The reporting signals may indicate a plurality of different continued service capacities among the components at least some of which are runtime-independent of one or more components in a drive system in the machine. Related apparatus and control logic is also disclosed.