Computational Systems, Inc.

Csi Technology, Inc.

Fisher-rosemount Systems, Inc

Emerson Electric (us) Holding Corporation (chile) Limitada

Robert Darrell Skeirik

Raymond Earl Garvey, Iii

Stewart V Bowers, Iii

Thomas E Nelson

Anthony John Hayzen

Christopher G Hilemon

Joseph A Vrba

Michael D Rich

Deane M Horn

Kevin D Steele

Michael D Medley

Joseph H Sharpe, Jr

Douglas A Mann

John S Turner

Gary Thomas Hawkins

Arthur R Crawford

Bradford J Duncan

Hermann Holtmannspötter

Vern W Lowry, Ii

A method for detecting defects in a rotational element of a machine based on changes in measured vibration energy includes: (a) collecting vibration data over an extended period of time using vibration sensors attached to the machine; (b) processing the vibration data to generate a time waveform comprising processed vibration values sampled during sequential sampling time intervals within the extended period of time; (c) detecting multiple time blocks within the extended period of time during which the processed vibration values exhibit sustained increases at progressively increasing rates; and (d) generating alerts based on detection of the multiple time blocks during which the processed vibration values exhibit sustained increases at progressively increasing rates. The multiple time blocks may include a first time block during which the processed vibration values increase at a first rate, and a second time block occurring after the first time block during which the processed vibration values increase at a second rate that is greater than the first rate.

Prediction of machine failure based on vibration trend information

A 'store on alert' vibration data acquisition mechanism uses scalar data produced by a vibration monitoring device as a predicate to capturing and storing analytical vibration data in the vibration monitoring device. The scalar data may consist of scalar process variables generated in the vibration monitoring device that are acquired at a fixed interval, such as PeakVue and Overall Vibration. At each interval, these scalar data values are compared to machine performance threshold levels, such as ADVISE, MAINT and FAIL, to determine whether analytical vibration data is to be stored separately inside the vibration monitoring device. Since the analytical vibration data is captured based on a predicate inside the vibration monitoring device (i.e., comparison of the scalar value to the thresholds), the analytical vibration data includes more relevant diagnostic information about a specific machine performance event.

Storing analytical machine data based on change in scalar machine data indicating alert condition

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.

Machine fault prediction based on analysis of periodic information in a signal

Analysis of periodic information in a signal

Useful and meaningful machine characteristic information may be derived through analysis of oversampled digital data collected using dynamic signal analyzers, such as vibration analyzers. Such data have generally been discarded in prior art systems. In addition to peak values and decimated values, other oversampled values are used that are associated with characteristics of the machine being monitored and the sensors and circuits that gather the data. This provides more useful information than has previously been derived from oversampled data within a sampling interval.

Selective decimation and analysis of oversampled data

Automatically adjusting collection parameters for machines on a route in a collection device, based on states of the machines. For each machine on the route, the machine state is read into the collection device. The machine is included or excluded based on the machine state. The collection device is configured with first collection parameters that are configured based on the machine state. Data is collected from the machine based on the first collection parameters. The data is analyzed using parameters that are configured based on the machine, to determine alerts. Based on the alerts, data is selectively immediately collected from the machine based on second collection parameters that are configured based on the machine state and the alerts. Also based on the alerts, the technician is selectively prompted with the collection device to take a predetermined action and collect data from the machine. The action and data are based on third collection parameters that are configured on the machine state and the alerts.

Adaptive and state driven data collection

Systems and methods to monitor pump cavitation are disclosed. An example method includes monitoring a pressure parameter and a vibration parameter associated with an asset in an operating process unit. The example method includes calculating a manipulated pressure value based on the pressure parameter. The example method includes calculating a manipulated vibration value based on the vibration parameter. The example method includes determining a state of cavitation associated with the asset based on at least one of the manipulated pressure value or the manipulated vibration value.

Systems and methods to monitor pump cavitation

Apparatuses and methods are provided for enhancing inspections using cameras through in-field displays and performance calculations. A field transportable apparatus typically includes a camera and programmable device having memory and logic. Generally the apparatus includes an interactive user interface suitable for displaying images and prompting response and accepting input from the camera operator in the field during an inspection. An operator may designate at least one thing of interest on a displayed infrared image; and the programmable device may uses an understood aspect of the object in the intended function to determine a performance characteristic of the object. An output display may be used to report the performance characteristic to the operator in the field.

Imaging for evaluating performance characteristics

A system and method for enhancing inspections using infrared cameras through in-field displays and operator-assisted performance calculations. A handheld infrared imaging system typically includes an infrared camera having a programmed computer and an interactive user interface suitable for displaying images and prompting response and accepting input from the infrared camera operator in the field during an inspection. An operator may designate at least one thing of interest on a displayed infrared image; and the programmed computer may uses a performance algorithm to estimate performance associated with the thing of interest. The programmed computer may extract information or parameters from previously measured data. The programmed computer may vary the way in which it displays new measurements based on the information extracted from the stored data. One or more of the parameters extracted from the IR image may be adapted to provide an automated alert to the user.

Infrared imaging for evaluating performance characteristics

Infrared imaging for monitoring component performance

A system and method for enhancing inspections using infrared cameras through in-field displays and operator-assisted performance calculations. A handheld infrared imaging system typically includes an infrared camera having a programmed computer and an interactive user interface suitable for displaying images and prompting response and accepting input from the infrared camera operator in the field during an inspection. An operator may designate at least one thing of interest on a displayed infrared image; and the programmed computer may use a performance algorithm to estimate performance associated with the thing of interest. The programmed computer may extract information or parameters from previously measured data. The programmed computer may vary the way in which it displays new measurements based on the information extracted from the stored data. One or more of the parameters extracted from the IR image may be adapted to provide an automated alert to the user.

Apparatus and method for infrared imaging with performance algorithm

The present invention is an apparatus for detecting machine parameters including vibration, producing signal corresponding to the parameters and conditioning the signals by means of predetermined criteria such as amplitude and time criteria. Routes may be input to the analyzer with settings that govern part of the conditioning for individual machines. The predetermined criteria also may include an input limit criterion which ensures the safety of the analyzer circuitry by indicating attenuation levels for incoming signals. The analyzer is also capable of two channel analysis of input signals including a summing analysis. The analyzer has thumb operated controls for easy operation in harsh environments.

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Knoxville, TN, United States of America

Robert Darrell Skeirik