Undetected degradation
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Anomaly or loss of performance
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Failure or unplanned shutdown
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Corrective action
The challenge
Early signs of degradation often appear before failure.
Critical machinery can develop wear, contamination, abnormal friction, and progressive deterioration before the problem becomes evident.
When these signals are not identified in time, maintenance becomes reactive: action is taken only after an anomaly, unplanned shutdown, or failure.
MIS is designed to anticipate this point by transforming machine data into useful information, enabling intervention before failure occurs.
Continuous monitoring
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Identification of early signals
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Assessment of degradation
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Preventive or predictive action
An integrated platform
MIS observes machinery while it operates.
Sensors, data acquisition, and operating-condition analysis are integrated into a single system to provide a continuous view of asset health.
The value lies not only in collecting data, but in transforming it into actionable information for maintenance planning and reducing the risk of unexpected failures.
Monitoring
Continuous acquisition of significant machine parameters.
Analysis
Processing data from multiple condition-monitoring technologies.
Detection
Recognition of early signs of wear, contamination, or abnormal operation.
Assessment
Interpretation of trends and the potential evolution of degradation.
Decision
Support for planning preventive and predictive maintenance activities.
Complementary technologies
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Multiple signals, one view of machine condition.
MIS combines different monitoring technologies to identify phenomena that would be difficult to interpret through a single analysis method.
Oil analysis
Monitoring lubricant parameters, contamination, and indicators of deteriorating operating conditions.
Wear particle analysis
Monitoring and classifying metallic particles in oil to identify wear and deterioration at an early stage.
Vibration analysis
Monitoring bearings, gears, and rotating components to identify imbalance, defects, and mechanical anomalies.
Ultrasound
A complementary technology to vibration analysis for early detection of anomalies and degradation in rotating components.
Wear analysis
Metallic particles reveal what is happening inside the machine.
The presence, size, and evolution of metallic particles in oil can provide significant information about deterioration in gears, bearings, and mechanical components.
Detection
Identification of particles generated by wear mechanisms.
Classification
Organisation of particles by size class and relevant characteristics.
Trend analysis
Evaluation over time to distinguish isolated events from progressive phenomena.
Decision support
Support in selecting the most appropriate time for inspection or maintenance.
Why MIS
From scheduled maintenance to intelligent maintenance.
Prevention
Identifies anomalies and degradation before they develop into failure.
Predictive capability
Supports trend assessment and maintenance planning based on actual machine condition.
Operational continuity
Reduces the risk of unexpected shutdowns and improves the availability of critical machinery.
Objective decisions
Transforms machine data into usable technical information.
Applications
Drilling
Pumps
Power
Industry
Intelligent monitoring for critical machinery and equipment.
Drawworks and transmission systems
Monitoring of rotating components, lubrication, gears, bearings, and operating conditions.
Mud pumps and industrial pumps
Monitoring mechanical condition, lubricant health, and early signs of wear.
Engines and generator sets
Combined analysis of operating conditions and the main degradation mechanisms.
Critical industrial machinery
Custom applications for assets where reliability and operational continuity are essential.
Maintenance Intelligence System
Acting before failure protects safety, operational continuity, and asset value.
MIS supports preventive and predictive maintenance based on the actual condition of the machine.
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