Method and system for online condition monitoring of multistage rotary machinery

A method for diagnosing doubling in a multistage rotary machine, said rotary machine having one or more stages, each of said stages having one or more rotary components, said method comprising the steps of:

• receiving one or more signals from sensors at each of said rotary components;
• generating a current error matrix by comparing corresponding ones of said signals from each of said stages;
• comparing said current error matrix to at least one stored error matrix to identify one of said rotary components having a largest difference between said current and stored error matrices;
• comparing said current error matrix to a predetermined tolerance;
• and,
• updating said stored error matrix with said current error matrix, wherein said stored error matrix is a time-sequence of stored error matrices.

A method for diagnosing doubling in a multistage rotary machine, said rotary machine having one or more stages, each of said stages having one or more rotary components, said method comprising the steps of:

• receiving one or more signals from sensors at each of said rotary components;
• generating a current error matrix by comparing corresponding ones of said signals from each of said stages;
• and,
• comparing said current error matrix to at least one stored error matrix to identify one of said rotary components having a largest difference between said current and stored error matrices;
• wherein said signals are at least one of speed, position, tension, rotary momentum, and acceleration signals.

A method for diagnosing doubling in a multistage rotary machine, said rotary machine having one or more stages, each of said stages having one or more rotary components, said method comprising the steps of:

• receiving one or more signals from sensors at each of said rotary components;
• generating a current error matrix by comparing corresponding ones of said signals from each of said stages;
• and,
• comparing said current error matrix to at least one stored error matrix to identify one of said rotary components having a largest difference between said current and stored error matrices;
• wherein said sensors are at least one of magnetic pickups, proximity probes, accelerometers, tensiometers, and rotary momentum detectors.