A Prognostic Simulation Technique for Fluid Power Systems

The development of the Statistical Analog Monitor (STAM) has resulted in the availability of data which could be invaluable in setting up maintenance schedules and procedures. This paper presents one method of using STAM data along with other information about the machine and its task to appraise the state of its components. The machine duty cycle is simulated using a set of characteristic parameters which depict the state of critical components. These data are then used to develop a library of STAM profiles against which actually collected profiles may be compared. An example system is analyzed to indicate the changes in STAM profiles due to degradation of selected components.