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1. 发明授权

US11573153B2 Prediction of machine failure based on vibration trend information 有权
公开(公告)号：US11573153B2
公开(公告)日：2023-02-07
申请号：US16546385
申请日：2019-08-21
申请人： Computational Systems, Inc.
发明人： John S. Turner , Robert D. Skeirik
IPC分类号： G01M13/045 , G01H1/00 , G07C3/06 , G05B23/02 , G05D19/02
摘要： 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.

2. 发明授权

US10416126B2 Machine fault prediction based on analysis of periodic information in a signal 有权
公开(公告)号：US10416126B2
公开(公告)日：2019-09-17
申请号：US15697911
申请日：2017-09-07
申请人： Computational Systems, Inc.
发明人： Stewart V. Bowers, III , Robert D. Skeirik
IPC分类号： G01N29/50 , G01H1/00 , G01H1/06 , G01H1/08 , G01N29/44 , G01N29/46 , G01N29/14 , G01N29/48 , G01M13/045
摘要： 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.

3. 发明申请

US20210055183A1 Prediction of Machine Failure Based on Vibration Trend Information 有权
公开(公告)号：US20210055183A1
公开(公告)日：2021-02-25
申请号：US16546385
申请日：2019-08-21
申请人： Computational Systems, Inc.
发明人： John S. Turner , Robert D. Skeirik
IPC分类号： G01M13/045 , G01H1/00 , G05D19/02 , G05B23/02 , G07C3/06
摘要： 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.

4. 发明申请

US20180011065A1 Machine Fault Prediction Based on Analysis of Periodic Information in a Signal 有权
公开(公告)号：US20180011065A1
公开(公告)日：2018-01-11
申请号：US15697911
申请日：2017-09-07
申请人： Computational Systems, Inc.
发明人： Stewart V. Bowers, III , Robert D. Skeirik
IPC分类号： G01N29/50 , G01H1/08 , G01H1/06 , G01N29/46 , G01N29/44
CPC分类号： G01N29/50 , G01H1/06 , G01H1/08 , G01M13/045 , G01N29/14 , G01N29/4427 , G01N29/4454 , G01N29/46 , G01N29/48
摘要： 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.

5. 发明申请

US20160048110A1 Adaptive And State Driven Data Collection 有权
标题翻译：自适应和状态驱动数据收集
公开(公告)号：US20160048110A1
公开(公告)日：2016-02-18
申请号：US14825050
申请日：2015-08-12
申请人： COMPUTATIONAL SYSTEMS, INC.
发明人： Christopher G. Hilemon , Thomas E. Nelson , Robert D. Skeirik , Anthony J. Hayzen , Deane M. Horn
IPC分类号： G05B13/02
CPC分类号： G08B21/02 , G05B21/02
摘要： A method of automatically adjusting data collection parameters for machines on a data collection route in a portable collection device used by a technician, based on states of the machines. For each machine on the data collection route, the state of the machine is read into the portable collection device. The machine is automatically included in or excluded from the data collection route based at least in part on the state of the machine. The portable collection device is automatically configured with a first predetermined set of data collection parameters that is automatically configured based at least in part on the state of the included machine. An initial set of data is collected from the included machine with the portable collection device, based on the first predetermined set of data collection parameters. The initial set of data is automatically analyzed using a predetermined set of data analysis parameters that is automatically configured based at least in part on the state of the included machine, to determine alerts. Based on the alerts, a second set of data is selectively automatically immediately collected from the included machine based on a second predetermined set of data collection parameters that is automatically configured based at least in part on the state of the included machine and the alerts. Also based on the alerts, the technician is selectively prompted with the portable collection device to take a predetermined action and collect a third set of data from the included machine. The action and the third set of data is based on a third predetermined set of data collection parameters that is automatically configured at least in part on the state of the included machine and the alerts.
摘要翻译：基于机器的状态，技术人员使用的便携式收集装置中的数据收集路线上的机器的数据收集参数的方法。对于数据采集路线上的每台机器，将机器的状态读入便携式收集装置。该机器至少部分地基于机器的状态被自动地包括在数据收集路线中或从数据收集路线排除。便携式收集装置被自动配置有至少部分地基于所包括的机器的状态自动配置的第一预定数据收集参数集合。基于第一预定数据收集参数集，从包含的便携式收集装置的机器收集初始数据集。使用至少部分地基于所包括的机器的状态自动配置的预定的一组数据分析参数来自动分析初始数据集，以确定警报。基于警报，基于第二预定数据收集参数集合，从包含的机器中选择性地自动地立即收集第二组数据，所述第二预定数据集合参数被至少部分地基于所包括的机器的状态和警报而被自动配置。还基于警报，技术人员被选择性地提示与便携式收集装置采取预定的动作并从所包含的机器收集第三组数据。动作和第三组数据基于第三预定数据集合参数集合，其至少部分地基于所包括的机器的状态和警报自动配置。

6. 发明授权

US10508974B2 Storing analytical machine data based on change in scalar machine data indicating alert condition 有权
公开(公告)号：US10508974B2
公开(公告)日：2019-12-17
申请号：US15011912
申请日：2016-02-01
申请人： Computational Systems, Inc.
发明人： Bradford J. Duncan , Robert D. Skeirik , Stewart V. Bowers, III
IPC分类号： G01M99/00 , G08B21/18 , G01H1/00
摘要： 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.

7. 发明申请

US20170219461A1 Storing Analytical Machine Data Based on Change in Scalar Machine Data Indicating Alert Condition 审中-公开
公开(公告)号：US20170219461A1
公开(公告)日：2017-08-03
申请号：US15011912
申请日：2016-02-01
申请人： Computational Systems, Inc.
发明人： Bradford J. Duncan , Robert D. Skeirik , Stewart V. Bowers, III
IPC分类号： G01M99/00 , G08B21/18
CPC分类号： G01M99/008 , G01H1/00 , G08B21/182
摘要： 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.

8. 发明授权

US09524629B2 Adaptive and state driven data collection 有权
标题翻译：自适应和状态驱动的数据收集
公开(公告)号：US09524629B2
公开(公告)日：2016-12-20
申请号：US14825050
申请日：2015-08-12
申请人： Computational Systems, Inc.
发明人： Christopher G. Hilemon , Thomas E. Nelson , Robert D. Skeirik , Anthony J. Hayzen , Deane M. Horn
IPC分类号： G05B21/00 , G08B21/02
CPC分类号： G08B21/02 , G05B21/02
摘要： 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.
摘要翻译：根据机器的状态自动调整收集设备中路由上的机器的收集参数。对于路由上的每台机器，将机器状态读入收集设备。根据机器状态包括或排除机器。收集设备配置有基于机器状态配置的第一个收集参数。基于第一个收集参数从机器收集数据。使用基于机器配置的参数来分析数据，以确定警报。基于警报，基于基于机器状态和警报配置的第二收集参数，选择性地立即从机器收集数据。还基于警报，技术人员被选择性地通过收集装置提示以采取预定的动作并从机器收集数据。操作和数据基于在机器状态和警报上配置的第三个收集参数。

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