Predictive Maintenance
A Pro-Active Approach to Maintenance
Less Maintenance Cost
Less Facility Downtime
Less Equipment Damage
What is “Predictive Maintenance” ?
The predictive maintenance strategy uses data collected from the actual condition of the equipment to plan the required maintenance and determine when it should be carried out. This allows necessary maintenance to be planned and executed before the system’s condition worsens, preventing unplanned malfunctions. The strategy minimizes downtime and maximizes the equipment’s productive life cycle. In other words, maintenance is performed neither earlier nor later than necessary.
These are the most common maintenance strategies:
Reactive maintenance
Repairing a device only agter its break down.
Maintenance Cost
$$
Low Cost
Low Importance
Preventive maintenance
Repairing a device before break down on schedule basis.
Maintenance Cost
$$$
High Cost
Extremely High Risk
Predictive maintenance
Repairing a device before break down based on continues data collection.
Maintenance Cost
$
High/Medium Cost
High/Medium Importance
How LoggerFlex Smart Devices Can Help You?
LoggerFlex provides cost-effective and low-maintenance monitoring hardware and software solutions to facilitate “Predictive Maintenance” for equipment of any size. Whether it’s a pump, electric motor, HVAC system, elevator motor, ventilation system, or tool, our plug-and-play monitoring devices enable constant measurement, recording, and monitoring of the equipment’s health. They can detect anomalies or early signs of deterioration or overload, notifying the maintenance team to schedule inspections or maintenance. Enhanced by AI anomaly detection, our cloud-based application can predict potential scenarios and suggest them to the maintenance crew.
Some Popular Products For Industrial Monitoring
4~20mA Analog Input
Adjustable unit and range
Recort and send real-time alarm for any sensor
Compatible with any sensor with 4~20 mA
Adjustable unit and measurement range
Air Quality Monitoring
CO² | Temperature | RH | Mold
CO², Ambient Temperature & RH Recording
Carbon dioxide Long Exposure alarm rules
Alarm for CO² and Temperature
Predictive Maintanace
Current | Pressure | Temperature
LoggerFlex’s “LF CLOUD” Advance Alarming Functions Explained
1
Momentary Minimum and
Maximum value Alarms
2
Adjustable “Persistent Condition” Alarm
3
Adjustable Time-Weighted Average Long-term Alarms
4
Trend change (Drift) detection alarm
As the most basic alarm function, ‘LF CLOUD’ can immediately push an alarm if any measured parameter exceeds the maximum or falls below the adjustable minimum threshold.
To filter out possible momentary fluctuations, users can adjust the persistence duration of the condition before the alarm goes off. Using this feature, the system only triggers the alarm if the out-of-bounds measured parameter remains beyond defined limits for a certain duration.
“LF CLOUD” can constantly monitor the parameters to ensure compliance with multiple long-term exposure rules. Rules can be defined by the measured level and duration of exposure, and the system will send an alarm if long-term exposure is detected based on time-weighted average values.
The “LF Cloud” can monitor the trend of changes or drift in the measurements and push notifications if the average measured values show a certain percentage higher or lower than previous records at adjustable intervals.
Computer Vision
