Fan Failure Prediction via Multi-Parameter Monitoring
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Solution Overview
Problem
Current methods for detecting fan failure rely solely on rotating speed, failing to predict issues before they lead to temperature increases, which can damage computers or instruments.
Innovation Solution
An alerting method and apparatus that uses a microprocessor to monitor fan motor parameters such as rotating speed, peak current, duration, and environmental conditions, sending an alarm when predefined thresholds are exceeded to predict and prevent fan failure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only rotating speed is monitored to detect fan failure, then the detection method is simple, but the fan failure cannot be predicted and damage occurs due to temperature rise
Solution Approach 1:
The system performs preliminary monitoring of multiple parameters (rotating speed, peak current, duration) before fan failure occurs. By continuously tracking these parameters and comparing them against predetermined values, the system can predict fan failure in advance, allowing preventive action to be taken before actual failure and temperature-related damage occur.
Solution Approach 2:
The invention transitions from single-parameter (rotating speed only) monitoring to multi-dimensional monitoring by incorporating additional parameters such as peak current and duration. This dimensional expansion enables more comprehensive fan status assessment and improves prediction accuracy without overwhelming complexity.
2Measurement precision
If multiple parameters are monitored to predict fan failure, then failure prediction accuracy improves, but the system complexity increases
Solution Approach 1:
The monitoring system is segmented into distinct parameter tracking components, each responsible for specific measurements (rotating speed, peak current, duration). This segmentation allows precise monitoring of individual parameters while maintaining overall system manageability and clarity in the detection logic.
Solution Approach 2:
The system dynamically adjusts monitoring based on parameter changes by comparing real-time values against predetermined thresholds. When parameters exceed their predetermined values, the system triggers appropriate responses. This dynamic parameter-based approach improves detection accuracy while keeping the control logic straightforward.
Data Source
AI summary
An alerting method for fan failure first reads a target value of rotating speed of a fan motor. Predetermining values of each parameters of the fan motor is calculated according to the target value of rotating speed of the fan motor. If a current value of rotating speed of the fan motor is lower than the target value of rotating speed of the fan motor, the failure recorded in a counter is added one time. If a current peak value of the fan motor is higher than a first predetermining current value, the failure recorded in the counter is added one time. If the duration of the current which is higher than a second predetermining current value of the fan motor is higher than a predetermining duration, the failure recorded in the counter is added one time. An alarm signal is sent if the failure recorded in the counter is larger than a predetermining time.