Strategic Partner of Contec Japan since 2000. We transform Indonesian factories into world-class smart manufacturing with proven IIoT solutions, Data Acquisition, Remote I/O, Long-range wireless communication/LoRa, Industrial Computers, Wireless LAN, and industrial automation expertise. Delivering complete edge-to-cloud integration where precision meets performance—empowering manufacturers to compete globally with confidence.
Unplanned equipment downtime costs manufacturers an average of $260,000 per hour. Predictive maintenance leverages IoT sensors and AI to prevent failures before they occur.
Traditional vs Predictive Maintenance
Reactive Maintenance
Fix it when it breaks
High downtime costs
Emergency repairs
Unpredictable failures
️ Preventive Maintenance
Fixed schedule maintenance
Time-based servicing
Some unnecessary work
Better than reactive
Predictive Maintenance
Condition-based monitoring
Data-driven decisions
Optimal timing
Maximum uptime
How It Works
Step 1: Sensor Installation
Install IoT sensors to monitor critical parameters:
Vibration sensors for rotating equipment
Temperature sensors for motors and bearings
Current sensors for electrical systems
Acoustic sensors for anomaly detection
Step 2: Data Collection
Sensors continuously collect data at high frequency, creating a baseline of "normal" operating conditions.
Step 3: AI Analysis
Machine learning algorithms analyze patterns and detect anomalies that indicate potential failures:
// Example: Anomaly Detection Algorithm
if (vibrationLevel > normalThreshold * 1.5) {
alert("High vibration detected on Motor #3");
recommendedAction = "Schedule inspection within 48 hours";
estimatedFailureTime = calculateRemainingUsefulLife();
}
Step 4: Maintenance Scheduling
System automatically creates work orders and schedules maintenance during planned downtime.
ROI Analysis
Real Results: Companies implementing predictive maintenance report:
25-30% reduction in maintenance costs
70-75% fewer breakdowns
35-45% reduction in downtime
20-25% increase in production
Getting Started
Begin your predictive maintenance journey with these steps:
Identify critical assets with highest downtime costs
Install vibration and temperature sensors
Collect baseline data for 2-3 months
Implement AI-powered analytics platform
Train maintenance team on new workflows
Conclusion
Predictive maintenance transforms maintenance from a cost center into a strategic advantage, maximizing uptime and profitability.
System Admin
Maintenance Solutions Expert
Expert in Industrial IoT and Smart Manufacturing solutions
