Time filter

Source Type

Midland, TX, United States

Csi Inc. | Date: 2014-06-27

A periodic signal parameter (PSP) indicates periodic patterns in an autocorrelated vibration waveform and potential faults in a monitored machine. The PSP is calculated based on statistical measures derived from an autocorrelation waveform and characteristics of an associated vibration waveform. The PSP provides an indication of periodicity and a generalization of potential fault, whereas characteristics of the associated waveform indicate severity. A periodic information plot (PIP) is derived from a vibration signal processed using two analysis techniques to produce two X-Y graphs of the signal data that share a common X-axis. The PIP is created by correlating the Y-values on the two graphs based on the corresponding X-value. The amplitudes of Y-values in the PIP is derived from the two source graphs by multiplication, taking a ratio, averaging, or keeping the maximum value.

A computer-animated graphical model visually conveys the movement and vibration of an entire shaft rotating within its bearings, and the behavior of the shaft at each individual bearing. The model aids a user in (1) visualizing an animated three-dimensional mode shape of a modeled shaft at high speeds, (2) visualizing the alignment state of the bearings of a modeled shaft at slower speeds, (3) visualizing the axial movement of a modeled shaft relative to a stationary component, and (4) visualizing the relationship between a rotating element, such as rotor, and a stationary element, such as a rotor housing, at locations other than the bearing locations. The model enables a user to compare shaft behavior at different operating conditions during a transient event, to see if a shaft is running at a proper position within its bearings, and to see if a shaft is contacting bearing surfaces or is dangerously close to such contact.

Csi Inc. | Date: 2014-06-05

A method is described for automatically determining a proper threshold for a tachometer signal in order to produce desired tachometer pulses necessary for analysis of machine vibration data. A tachometer signal is low-pass filtered to exclude high frequency noise and a running derivative of the filtered tachometer waveform is taken to create a derivative waveform. Another waveform is created that includes only positive values from the derivative waveform that correspond to positive values in the low-pass filtered tachometer waveform. In general, a tachometer signal has the greatest derivative value (slope) when a tachometer pulse is present. Based on this observation, a threshold value is determined using both the low-pass filtered tachometer waveform and the positive-value derivative waveform along with statistics from both waveforms.

A method for importing data from a first system into a second system includes receiving configuration information about data storage structures in the first and second systems and information about communicating with the first and second systems. Information to be used in creating an import configuration file is entered via a user interface. The import configuration file is for use in preparing the second system to receive data from the first system. Based on the information about data storage structures, the information about communicating with the first and second systems, and the information entered via the user interface, the import configuration file is created to prepare the second system to receive data from the first system. Based on the import configuration file, data is transferred from the first system into the second system.

Csi Inc. | Date: 2013-11-14

A vibration data collection system performs an integration or differentiation process on incoming digitized vibration data in real time. The system uses a digital Infinite Impulse Response (IIR) filter running at the input data rate to provide the integration or differentiation function. With this approach, the system reduces hardware complexity and data storage requirements. Also, the system provides the ability to directly integrate or differentiate stored time waveforms without resorting to FFT processing methods.

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