Related to "addition insulation break"

The Rugged Monitoring O201 is a compact design, designed for reliability to operate in extreme EMI, RFI, Microwave and high voltage environments. The O201 Fiber optic monitor combines reliability and user friendly configuration software.  It is a multi-channel fiber optic temperature monitor with precision measurement for Original Equipment manufacturers. The O201 has a measuring range from -271 °C to +300 °C. The system offers complete immunity to RFI, EMI, microwave radiation, and High Voltages  making it an optimal choice  for environments where the limitations of conventional temperature sensors/ monitors impact usage in extreme conditions. The system is based on proven GaAs technology  and designed for Plug and Play operation.

The O201 is designed to collect data and easy to integrate into existing systems through serial communication like RS-485 or analog outputs like 0-10 V / 4-20 mA. The O201 supports Modbus, CANbus protocols and a system fault relay. The module is designed with capability to add additional application logic for customer specific applications. It is designed with the needs of Monitoring, Test platforms or Industrial Process monitoring integration needs. It has the data integration capability of multiple test platforms.  Industry standard drivers availlable for a quick and easy connect to most popular laboratories softwares. There is a dedicated team for application specific customizations for fiber optic sensors,  monitor configuration and software integration to simplify the data collection of testing and monitoring applications.  

Description:

The Rugged Monitoring O201 is a compact design, designed for reliability to operate in extreme EMI, RFI, Microwave and high voltage environments. The O201 Fiber optic monitor combines reliability and user friendly configuration software.  It is a multi-channel fiber optic temperature monitor with precision measurement for Original Equipment manufacturers. The O201 has a measuring range from -271 °C to +300 °C. The system offers complete immunity to RFI, EMI, microwave radiation, and High Voltages  making it an optimal choice  for environments where the limitations of conventional temperature sensors/ monitors impact usage in extreme conditions. The system is based on proven GaAs technology  and designed for Plug and Play operation.

The O201 is designed to collect data and easy to integrate into existing systems through serial communication like RS-485 or analog outputs like 0-10 V / 4-20 mA. The O201 supports Modbus, CANbus protocols and a system fault relay. The module is designed with capability to add additional application logic for customer specific applications. It is designed with the needs of Monitoring, Test platforms or Industrial Process monitoring integration needs. It has the data integration capability of multiple test platforms.  Industry standard drivers availlable for a quick and easy connect to most popular laboratories softwares. There is a dedicated team for application specific customizations for fiber optic sensors,  monitor configuration and software integration to simplify the data collection of testing and monitoring applications.  

Related Keyphrases:

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Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. This results in a reduction in unplanned downtime costs because of failure where for instance costs can be in the hundreds of thousands per day depending on industry.[5] In energy production in addition to loss of revenue and component costs, fines can be levied for non delivery increasing costs even further. This is in contrast to time- and/or operation count-based maintenance, where a piece of equipment gets maintained whether it needs it or not. Time-based maintenance is labor intensive, ineffective in identifying problems that develop between scheduled inspections, and so is not cost-effective.

Description:

Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. This results in a reduction in unplanned downtime costs because of failure where for instance costs can be in the hundreds of thousands per day depending on industry.[5] In energy production in addition to loss of revenue and component costs, fines can be levied for non delivery increasing costs even further. This is in contrast to time- and/or operation count-based maintenance, where a piece of equipment gets maintained whether it needs it or not. Time-based maintenance is labor intensive, ineffective in identifying problems that develop between scheduled inspections, and so is not cost-effective.

Related Keyphrases:

unplanned downtime costs | Predictive maintenance | maintenance activity | perform maintenance | condition monitoring | identifying problems | component costs | energy production | instance costs | labor intensive | ultimate goal | equipment | non delivery | inspections | performance