Brochures
The brochures are showing all about our Products and Customer Support offerings.
PROGNOST® Cloud Dashboard
The PROGNOST® Cloud Dashboard provides machinery health information over a computer network without the need for a local installation of the User Interface PROGNOST®-NT VISU.
PROGNOST®-NT
PROGNOST®-NT is the world’s leading diagnostic system that uses Neural Networks and Deep Learning technology for automated Failure Pattern Recognition of Rotating Equipment. More than 20.000 sensor samples per second are analyzed automatically in real-time. The system provides actionable clear text messages to operators, indicating the affected components, the failure mode and the percentage of failure severity.
PROGNOST®-Predictor
PROGNOST®-Predictor uses the patented Confidence Factor and Two Factor alarm logic to detect failures in Roller Bearings and complex gearboxes. Combining all of the PROGNOST®-Predictor capabilities results in optimal health of your machine and supports you to get your Preventive Maintenance becomming Predictive Maintenance management.
PROGNOST®-SILver
SIL3 certified machine protection hardware. PROGNOST®-SILver is a flexible and fast platform for integrated asset protection.
PROGNOST®-SenSim
PROGNOST®-SenSim is a portable device for the simulation of sensor signals. It simulates static and dynamic signals for measuring loop test routines.
Upgrade your PROGNOST®-NT to Version 20
Monitoring and online diagnostics of Rotating Equipment Rotating Equipment forms the majority of production assets. Pumps, compressors and gearboxes are irreplaceable in the oil, gas and petrochemical industry. Debottlenecking activities which [...]
Intelligent Machine Monitoring
“Intelligent Machine Monitoring” is a video production from experts for experts. Viewers learn basics of signal analyses as well as advanced topics to improve the results of their daily work. Enjoy the movies and feel free to share your thoughts in the comments section. We are also open for your suggestions for topics to be explained and discussed.
Monitoring of Rolling Element Bearings (Part 2)
This second part is about the challenges in the analysis [...]
Monitoring of Rolling Element Bearings (Part 1)
Tutorial for understanding the important basics of rolling element bearing monitoring. Learn what BPFO, BPFI, 2BS and FTF mean and how to detect impending bearing failures. The basis are time waveform readings from acceleration sensors that need to be transformed into FFT spectra with the specific frequency components.
Orbit plots for successful monitoring of rotating machinery
Monitoring the displacement of shafts in rotating machinery is mandatory [...]
Performance Optimization with pV diagram analyses
Learn how automated pV diagram is used for efficiency optimization on reciprocating compressors.
How to identify failures with pV diagram analyses
During the video we will talk about the discharge and [...]
What types of vibrations are produced by machines and need to be monitored?
How to monitor different types of vibration on Rotating Equipment
Customer Case Studies
Customer case studies are real life cases reporting advantages of Online Condition Monitoring and Machine Protection.
Detection of bearing failure in a large extruder gearbox
After a longer failure history with this gearbox, the customer decided to replace the installed spot measurement by a reliable online monitoring system. The customers´ decision-making process was supported by an open communication between the operator, the PROGNOST Systems team and the gearbox OEM.
Outer race fault in gearbox
Maintenance stop scheduled after indication of early failure The PROGNOST®-Predictor [...]
Condition Monitoring on a reciprocating compressor in a shale oil plant
Reciprocating compressors are often used to handle very dirty and [...]
Company (LDPE industry) avoided costs, by trusting Machine Monitoring System GalleryCompany (LDPE industry) avoided costs, by trusting Machine Monitoring System
News, Cases with PROGNOST®-NT, Customer Case Studies, Featured, Hyper Compressor, Knowledge Hub, Online Condition Monitoring, Reciprocating Machinery, Vibration Monitoring
Company (LDPE industry) avoided costs, by trusting Machine Monitoring System
Detection of various valve failures on LDPE hyper compressor within the six weeks of operation saved 250 million USD in production loss
Timely trip of a LDPE hyper compressor
Monitored Machine The monitored machine is a secondary LDPE Hyper [...]
Startup monitoring of LDPE Hyper compressor
After two months of unscheduled downtime, the customer asked our Customer Support team for support during compressor startup. Depending on the system and the local circumstances, this type of support can be done on site or via remote access.
Publications and Lectures
Technical articles published in magazines like CompressorTech2, Hydrocarbon Processing, PTQ, Gas Compression
Condition Monitoring on a reciprocating compressor in a shale oil plant
Reciprocating compressors are often used to handle very dirty and [...]
Practical experiences with Fuzzy Logic and Neural Networks
Insight into the basic techniques and special challenges associated with the application of automatic diagnosis to reciprocating compressors
Early Recognition of abnormal Wear Conditions
Residual abrasive contaminants in new process units can cause rapid wear of rider bands in reciprocating compressors. Those abnormal wear conditions can be detected at an early stage by continuously monitoring the proximity measures. As a result, costly damages to the compressors can be avoided.
SIL and functional safety in rotating equipment
Unraveling the terminology and meaning of safety integrity level and functional safety in rotating equipment
Challenges associated with the application of automatic diagnosis to Rotating Equipment
The past 20 years have seen continuous progress in the technological means available for monitoring the condition of Rotating Equipment.
Get the Profit: Return on Investment of Condition Monitoring Systems
Condition monitoring can substantially reduce the cost of consequence by avoiding catastrophic failures and reducing the frequency of incidents by providing realtime and continuous diagnoses of bad actors and all relevant components.