ISM’s advanced diagnostic tools continuously monitor sensor condition and let you know when maintenance will be need – clearly and simply.
The microchip in ISM probes continuously monitors a sensor’s condition while it’s operating in a process. Sophisticated algorithms convert data from the process and data on the sensor itself into a number of valuable diagnostic tools.
With predictive maintenance you can:
- See a sensor’s condition all the time
- Plan maintenance for when it will be needed
- Know if a sensor will operate reliably throughout the next batch
The DLI shows how many days a pH sensor can be reliably used for before it should be disposed of. As process conditions change, the DLI adjusts itself appropriately based on the stress placed on the sensor to provide continuously reliable information as to when replacement will be necessary.
For other sensors, such as dissolved oxygen probes, the DLI shows when a replaceable part should be exchanged.
The ACT algorithm calculates how many days remain before sensor calibration should be performed. In processes where stress on sensors is high, the ACT will count down quicker than in processes with less stress.
Calibrating sensors when indicated by the ACT ensures measurements remain within a sensor’s specified accuracy.
TTM is the number of days until the next maintenance and cleaning should be done. For ISM amperometric oxygen and CO2 sensors, the TTM algorithm indicates when the membrane body and electrolyte should be exchanged.
These monitor how many high temperature cycles a sensor has been exposed to. This allows easier compliance with SOPs as written records do not need to be relied on.
DLI – The sensor will need to be replaced in 529 days
TTM – It will need maintenance in 180 days
ACT – It needs calibrated today
CIP – It has not been exposed to CIP cycles
AutoClave – It has been autoclaved 4 times
Electrolyte – The sensor currently has sufficient electrolyte
All of the predictive maintenance diagnostic tools are viewable on ISM-equipped transmitters, on ISM Core software, and they can also be integrated into asset management systems for remote monitoring.
Predictive maintenance technology determines the condition of sensors, analyzers, and other equipment in order to predict when maintenance should be performed in order to prevent degradation in the equipment’s performance.
Predictive maintenance is scheduled as required by the sensor, analyzer or other asset, and preventive maintenance is scheduled at regular intervals. A predictive maintenance approach results in less use of labor and materials than preventive maintenance.
Advanced algorithms in ISM sensors continuously monitor sensor condition and predict the number of days remaining until maintenance, calibration, and replacement should be performed.
Predictive maintenance is better than other maintenance philosophies because it is based on how equipment is performing and suggests when and what corrective actions should be performed. Other maintenance philosophies either suggest conducting maintenance at predetermined intervals, even though maintenance may not be required, or conducting maintenance after a problem has been detected.
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