![]() ![]() Indicator is any feature of system data whose behavior changes in a A condition monitoring algorithm derives metricsįrom the data called condition indicators. Machine data isĭata such as temperature, pressure, voltage, noise, or vibration measurements,Ĭollected using dedicated sensors. The ultimate maintenance goal, such as fault recovery or development of aĪlgorithms for Condition Monitoring and PrognosticsĪ predictive maintenance program uses condition monitoring and prognosticsĪlgorithms to analyze data measured from the system in operation.Ĭondition monitoring uses data from a machine to assess itsĬurrent condition and to detect and diagnose faults in the machine. The nature of the measurements (for example, periodic, constant or Relationships among the actuators and sensors), the machine operating range, and ![]() Relationships among various signals from the machinery (such as input-output Understanding system dynamics involves detailed knowledge of Mathematical modeling of the system and its faults and from the insights ofĭomain experts. Physical knowledge about the system dynamics. SuchĬause-effect analysis can require extensive processing of data from the How various sources of faults translate to observed symptoms. Location of sensors, and their reliability and redundancies all affect both (such as accelerometers and flow meters).Īvailability of process measurements through sensors. In a pump), its actuators (such as an electric motor), or its various sensors Such sources canīe the core components of the machine (such as impeller blades and flow valves The observed sources of faults and their relative frequency. ![]()
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