Cyclic time averaging for machine monitoring
First Claim
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1. A method of monitoring the condition of a machine comprising:
- receiving a set of N sampled vibration amplitude values taken at a corresponding set of discrete times spanning a period of operation of the machine;
deriving a set of n averaged amplitude data points, with n being less than N, wherein each of the n averaged amplitude points comprises an average of vibration amplitudes separated by a period M, and wherein at least some of the vibration amplitudes used in deriving the set of n averaged amplitude data points do not correspond to any of the N sample values.
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Abstract
The condition of a machine is monitored with cyclic time averaging, a technique of allocating vibration energy to particular sources in a complex signal. The cyclic time averaging method is directed at processing time-domain vibration data of the machine to produce an averaged time waveform over a selected cyclic time period. Utilizing cyclic time averaging, the systems and methods analyze machine vibration signals to detect and evaluate specific sources of enemy contribution to the vibration energy of the machine. It is not necessary to employ a triggering signal to obtain the averaged time waveform.
25 Citations
21 Claims
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1. A method of monitoring the condition of a machine comprising:
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receiving a set of N sampled vibration amplitude values taken at a corresponding set of discrete times spanning a period of operation of the machine;
deriving a set of n averaged amplitude data points, with n being less than N, wherein each of the n averaged amplitude points comprises an average of vibration amplitudes separated by a period M, and wherein at least some of the vibration amplitudes used in deriving the set of n averaged amplitude data points do not correspond to any of the N sample values. - View Dependent Claims (2, 3, 4)
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5. A method of monitoring the condition of a machine comprising:
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generating a time-series vibration amplitude data set comprising N data points over a time period greater than a time period M without re-triggering data acquisition during the acquisition of said N points;
deriving n averaged data points, wherein each of the n points is representative of average amplitudes for points of the time-series data separated in time by M. - View Dependent Claims (6, 7, 8)
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9. A system for monitoring the condition of a machine, the system comprising:
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a data storage module that receives and stores N sampled vibration amplitude values taken at a corresponding set of discrete times spanning a period of operation of the machine; and
a data analyzer module, in communication with said data storage module, configured to derive from said N values a set of n averaged amplitude data points, wherein;
n is less than N;
each of said n points comprises an average of vibration amplitudes separated by a period M; and
at least some of the amplitudes used to derive said set of n points do not correspond to any of said N values. - View Dependent Claims (10, 11, 12)
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13. A system for monitoring the condition of a machine, the system comprising:
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a data acquisition module configured to generate a time-series vibration amplitude data set comprising N data points over a time period greater than a time period M, wherein said data acquisition module is configured to generate said N data points independently of a repeating synchronizing trigger signal;
a data analyzer module configured to derive n averaged data points, wherein each of said n points is representative of average amplitudes for points of said time-series data separated in time by said period M. - View Dependent Claims (14, 15, 16)
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17. A system for monitoring the condition of a machine, the system comprising:
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a data storage module that receives and stores time-series data comprising N sampled vibration amplitude values with corresponding times, wherein said time-series data spans a period of operation of the machine; and
a data analyzer module, in communication with said data storage module, configured to derive from said N values a set of n averaged amplitude data points, wherein;
n is less than N;
each of said n points comprises an average of vibration amplitudes separated by a period M; and
at least some of the amplitudes used to derive said set of n points are estimated from interpolation between at least one pair of said N values. - View Dependent Claims (18, 19, 20)
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21. A system for monitoring the condition of a machine, the system comprising:
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means for receiving N sampled vibration amplitude values taken at a corresponding set of discrete times spanning a selected period of operation of the machine; and
means for deriving n averaged amplitude data points, with n being less than N, wherein each of the n points comprises an average of vibration amplitudes separated by a period M, and wherein at least some of the amplitudes used in deriving said n data points do not correspond to any of said N values.
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Specification