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描述
CMS
Precision Investment Control, Insight into Subtle Status Changes
It supports real-time display of equipment operating status,with 24/7 real-time data collection and real-time reporting.
Real-Time Monitoring
Real-time vibration analysis including time-domain, frequency-domain, and trend analysis.
Data Analysis
Leveraging trends of over 20,000 parameters, it provides early warnings based on fault algorithm models to accurately identify fault types.
Intelligent Early Warning
Based on massive historical data, combined with artificial intelligence (AI) and machine learning algorithms, it estimates abnormal trends, detects early signs of anomalies, reduces the risk of unplanned downtime, and improves equipment safety.
Intelligent Diagnosis
The CMS Condition Monitoring System collects equipment operation, vibration, environmental, and other relevant data into the industrial big data platform via sensors. Leveraging intelligent analysis algorithms, it provides customers with equipment condition monitoring, fault diagnosis and analysis, equipment energy efficiency analysis, full lifecycle management, and other services—serving enterprise managers, equipment administrators, diagnostic engineers, and operation and maintenance personnel.
Program features
Comprehensive Analysis Based on Multi-Dimensional Sensors: Enhancing Deployment Flexibility and Diagnostic Accuracy
Vibration Sensor
Speed Sensor
Voltage Sensor
Current Sensor
Temperature Sensor
......
Covers Common Types of Rotating Equipment and Common Fault Categories
Motor Category:

Rotor/stator eccentricity; squirrel cage bar breakage; winding faults; voltage/current unbalance; harmonic anomalies, etc.

Fan & Pump Category:

Misalignment; unbalance; foundation loosening; resonance, etc.

Bearing Category:

Rolling bearing component faults; loosening; rub-impact.

Gearbox Category:

Tooth surface wear; gear tooth cracks; tooth pitting and missing teeth.

Multi-Dimensional Feature Values
Fusion of Machine Learning and Mechanism-Based Diagnosis: Enabling Trend Analysis, Anomaly Monitoring, and Intelligent Diagnosis
Multi-Dimensional Spectrograms
Fault Model
......
Big Data Analysis
Mechanism-Based Model
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Telephone:
Mailbox:
Address:
13920690315
Gumble.Gao@ztjai.com
No. 20 East University Town Road, Huxi Street, High-tech Zone, Chongqing City
Attention to our
描述
1415058337
1415058337
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