Vibration & Temperature Sensors
MIT (Made-in-Taiwan) R&D, developed in-house,combining MEMS technology to capture real-time equipment vibration signals.
MEMS Vibration Sensors
AI-Driven Smart Equipment Insights for More Reliable Infrastructure Operations
Purpose-built for demanding industrial environments.
Precision vibration monitoring paired with AI deep learning delivers real-time equipment health visibility
shifting from reactive to proactive, accurately predicting risk, and comprehensively optimizing operational efficiency.
Digital Output
Built-in ADC for direct digital signal output.
Strong interference resistance ensures stable, reliable data.
Simplifies system integration and supports long-distance transmission.
Tri-Axial Omnidirectional Sensing
Simultaneously monitors X, Y, and Z axis vibration.
Comprehensive visibility into equipment operating status.
Precisely captures anomalous signals—no warning signs missed.
Multiple Transmission Options Supported
Supports both wired and mainstream wireless communication.
High deployment flexibility for a wide range of industrial scenarios.
Meets monitoring needs for remote and mobile equipment.
Time-Domain Metrics
Full-Spectrum Frequency Analysis
Provides time-domain data including velocity and acceleration.
Supports full FFT spectrum analysis.
Rapidly identifies imbalance, eccentricity, and bearing faults.
Industrial Transmission Standards Supported
Compatible with Modbus and AT Command protocols.
Easily integrates with existing systems and equipment.
Reduces integration and deployment costs.
High-Precision, Multi-Bandwidth Measurement
Covers vibration ranges from low to high frequency.
Detects early-stage structural and equipment anomalies.
Enhances predictive maintenance and fault diagnosis capabilities.
PROGNOSIS High-Precision MEMS Vibration Sensor
- Synchronized tri-axial vibration monitoring (X, Y, Z)
- 4 kHz – 8 kHz high-bandwidth response
- ±16g wide measurement range
- -20°C to 85°C wide operating temperature range
- IP67-rated dust and water protection
PILOT AI ANALYSIS
Your Navigator for Asset Health
For complex facility equipment management, our MEMS vibration sensors combine with edge AI analytics to monitor equipment health around the clock. Real-time vibration data and early-warning alerts catch potential failures before they escalate, helping maintenance teams pinpoint issues quickly—shifting from reactive repairs to proactive prevention, and comprehensively improving equipment reliability and operational efficiency.
- 80% reduction in unplanned downtime
- 50% reduction in maintenance costs
- 15% increase in core equipment OEE
- 7–180 days advance warning of equipment anomalies
Proven Track Record & Applications
Diverse Application Scenarios
1
Continuous-Operation Equipment
Round-the-clock health monitoring for critical equipment
Cooling systems | Vacuum pumps | Air compressors
2
Automated Equipment
Track dynamic operation and detect anomalies
AGVs | Robotic arms | FA equipment
3
Public Infrastructure
Improve equipment reliability and operational safety
Rail systems | Water supply systems | Power generation equipment
Catch Anomalies Early, Avoid Unplanned Downtime
From real-time monitoring to failure prediction—building a smarter approach to equipment management that boosts reliability and production efficiency.