State of the art automatic condition diagnostic, monitoring, and balancing software

DREAM^® For Windows

DREAM (Diagnostic Rolling Element Analysis Module) for Windows is a complete software system for condition monitoring, automatic condition diagnostics and condition prediction for rotating machines. DREAM for Windows is designed to work with a number of data collectors and is capable of working as a continuous monitoring and diagnostic system in it's on-line mode.

DREAM is used for:

• automatic detection and identification of defects in rotating machines after machine installation or repair and during normal operation

• long-term predictions of a machine's condition and forecasts of the minimum safe operation period of the machine

• predictive maintenance planning

• automatic detection and identification of incipient defects for periods of up to several months before dangerous situations develop and continued monitoring of the development of the defects

• collection and storage of machine condition data for further processing and reporting
  form and load route information and unload data from portable instruments

• set up and control measurements for on-line measurement systems

• collect and save the machine condition data for further processing and reporting

• automatically process envelope and auto spectra, high frequency vibration levels, and detect and display the diagnostic parameters.

Features:
   

• DREAM is completely automatic and designed to be used, not only by experts in diagnostics, but also by mechanics with no special training as well

• according to the machine specifications, DREAM automatically defines what measurements to make

• to setup DREAM, enter the parameters of your machinery and not spectra measurements

• automatic condition diagnostics and long-term condition prediction

• issuing of recommendations for machinery maintenance based on actual machine conditions

• advanced level of reliability for detailed condition diagnostics and life forecasts

• condition diagnostics and prediction using a single vibration measurement for a number of different types of machine units including rolling element bearings

• the use of the full diagnostic information from narrow band vibration envelope spectra and autospectra which enables the

• detection of faults in the incipient stage of their development;

• the use of diagnostic methods that do not require changes in the machine operation mode for diagnostic purposes

• flexible configuration capability for use with a variety of data collection and hardware systems

• possibility of system adaptation to very complicated machine diagnostics such as aircraft jet engines with a large number of units in a limited space

• the system is built from of modules that enable flexible configurations and pricing

• state of the art user interface that enables you to see photo images of your machine including the transducer locations