Development and production of the worlds' best Online Monitoring Systems for Predictive Maintenance. PROGNOST Systems offers intelligent monitoring systems for Rotating Equipment, especially for reciprocating compressors and gearboxes, of extruder trains. Our solutions include automated machinery diagnostics, SIL-certified machine protection and performance monitoring. Especially developed solutions for Predictive Maintenance of reciprocating and centrifugal machinery detect impending failures very early and assign the affected components.
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SIL3 certified PROGNOST-SILver hardware protection rack with PROGNOST-DataCenter for data recording and DCS/PLC connection including all sensors. Machine Protection package PLUS vibration based Early Failure Detection, Wear Monitoring and automated diagnostics including all sensors. Machine Protection PLUS Basic Monitoring addon package PLUS dynamic pressure monitoring with automated pV diagram analyses including all sensors.
This machinery protection system is designed to provide machine protection while maximizing production uptime. This hardware incorporates a smart modular concept that enables you to gradually replace or expand your existing system for additional machinery protection tasks. It also allows users of previous PROGNOST-SILver racks to re-use their existing PROGNOST input cards.
An extensive library of pre-defined machine types, machine components, and sensors allows drag and drop configuration of machines, sensors, cards, analyses, voting logic, and much more. The multilingual approaches of PROGNOST-SILver, as well as PROGNOST-Admin, allows the naming of machines, components, TAGs, loops, etc., in almost any language.
The PROGNOST-Navigator is a touch panel with a TFT color wide screen display, designed for field data monitoring. The PROGNOST-Navigator provides more accessible information to have an intelligent response to increasingly complex processes and instrumentation. It displays data of the monitored machine trains as well as the Machine Protection System (MPS) itself. This enables operators a holistic condition overview.
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