Dynamic Fault Thresholds for Cooling Modules
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Solution Overview
Problem
Existing systems face challenges in setting fault thresholds for cooling modules from different manufacturers, as they operate at varying rotational rates, leading to incorrect fault detection and potential undetected degradation of higher-speed modules.
Innovation Solution
A system and method that dynamically determine fault thresholds by producing a characterization signal with unique electrical characteristics, correlating to the module's model, using a monitoring unit and storage unit to associate parameter values with fault thresholds, allowing for accurate performance evaluation of operational modules regardless of manufacturer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single fault threshold is set based on the slowest speed module from all manufacturers, then all cooling modules can be monitored with a unified threshold, but higher-speed cooling modules from other manufacturers may degrade undetected because their operational range exceeds the threshold
Solution Approach 1:
The fault threshold is made dynamic rather than static. The system automatically determines the appropriate fault threshold for each cooling module based on its manufacturer and operational characteristics. The monitoring unit adjusts the threshold dynamically during operation, allowing the same system to accurately monitor modules from different manufacturers without requiring manual configuration or pre-setting specific thresholds for each manufacturer.
Solution Approach 2:
The system changes the parameter of the fault threshold based on the specific cooling module being monitored. By identifying the manufacturer and operational characteristics of each module, the system adjusts the threshold parameter to match the expected operational range of that specific module type. This ensures that each module is evaluated against its appropriate performance baseline rather than a universal threshold that may not apply to all manufacturers.
2Reliability
If a high fault threshold is set to accommodate higher-speed modules, then those modules can operate without false alarms, but slower modules from other manufacturers may be incorrectly flagged as faulty
Solution Approach 1:
The system applies different fault thresholds to different cooling modules based on their specific characteristics. Instead of using a single universal threshold, the monitoring unit determines the appropriate threshold for each module individually based on its manufacturer and operational properties. This localizes the evaluation criteria to match each module's expected performance, ensuring that both high-speed and slow modules are evaluated against their appropriate baselines.
Solution Approach 2:
The fault threshold is dynamically adjusted during operation based on the identified module characteristics. The system continuously monitors and adapts the threshold to match the specific module being evaluated, preventing false alarms for high-speed modules while maintaining accurate detection for slower modules. The dynamic adjustment occurs automatically without requiring manual intervention or pre-configuration.
3Reliability
If the fault threshold is set low to detect degradation of higher-speed modules, then degradation can be detected, but properly functioning slower modules may be erroneously flagged as faulty
Solution Approach 1:
The system changes the fault threshold parameter to match the specific module's operational characteristics. By identifying whether a module is from a particular manufacturer and determining its expected operational range, the system adjusts the threshold parameter accordingly. This ensures that slower modules are evaluated against appropriate low thresholds that account for their natural operational variability, while higher-speed modules are evaluated against higher thresholds that prevent false alarms.
Solution Approach 2:
The system performs preliminary identification of the module's manufacturer and operational characteristics before setting the fault threshold. This preliminary action allows the monitoring unit to pre-determine the appropriate threshold based on the module's expected performance range. By establishing the correct threshold in advance based on the module's identity and properties, the system prevents both false alarms and missed degradation detections before they occur.
Data Source
AI summary
A system and method for determining a fault threshold for an operational module according to the model of the operational module are described. The system includes an operational module, a storage unit, and a monitoring unit. The operational module has circuitry for producing a characterization signal with an electrical characteristic that uniquely correlates to the model of the operational module. A storage unit maintains an association between at least one parameter value and a fault threshold. A monitoring unit is in communication with the operational module to receive the characterization signal and with the storage unit. The monitoring unit measures the electrical characteristic of the characterization signal to derive a parameter value therefrom and accesses the storage unit to determine the fault threshold associated with the derived parameter value.