In modern industrial settings, Real-Time AI Decision Logic is becoming the backbone of predictive maintenance. Specifically, implementing an automated system for motor fault alarms can save thousands of dollars in downtime by identifying issues before they lead to catastrophic failure.
Understanding the Logic Flow
To implement an effective alarm system, the AI must process sensor data (such as vibration, temperature, and current) and apply decision logic to classify the motor's health status. Below is a simplified implementation of how you can visualize this logic using a web-based dashboard.
Motor Health Monitor (Simulation)
Current Vibration Level: 0.5 mm/s
Core Implementation Code
The following example uses JavaScript decision logic to trigger an alarm when the AI model (simulated here) detects an anomaly in the vibration threshold.
// Logic for Real-Time AI Decision Alarms
function checkMotorHealth(sensorData) {
const VIBRATION_THRESHOLD = 4.5; // Example threshold in mm/s
const ALARM_ELEMENT = document.getElementById('status-display');
if (sensorData.vibration > VIBRATION_THRESHOLD) {
// AI Logic: Trigger Critical Alarm
ALARM_ELEMENT.style.backgroundColor = '#e74c3c';
ALARM_ELEMENT.innerText = 'CRITICAL FAULT: UNBALANCED LOAD';
triggerNotification('Motor Fault Detected!');
} else {
ALARM_ELEMENT.style.backgroundColor = '#2ecc71';
ALARM_ELEMENT.innerText = 'SYSTEM STATUS: NORMAL';
}
}
function triggerNotification(msg) {
console.log("Push Notification: " + msg);
// Integrate with MQTT or Email API here
}
Key Benefits of AI-Driven Alarms
- Reduced Latency: Decision logic processed at the edge ensures immediate response.
- Accuracy: AI filters out noise from normal operational vibrations.
- Scalability: Easily deploy the same logic across multiple motor units.
By integrating Real-Time AI Decision Logic into your motor fault alarm system, you transition from reactive repairs to a proactive smart factory environment.
AI Decision Logic, Motor Fault Detection, Real-Time Monitoring, Predictive Maintenance, Industrial IoT, Machine Learning, JavaScript Alarm System, Smart Manufacturing
