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公开(公告)号：US20150160101A1
公开(公告)日：2015-06-11
申请号：US14403994
申请日：2012-05-31
Applicant: Robert X. Gao , Jinjiang Wang , Ruqiang Yan , Brian Charles Ellis , Boone Elbert Smith , Jose Abelardo Sanchez Puente
Inventor： Robert X. Gao , Jinjiang Wang , Ruqiang Yan , Brian Charles Ellis , Boone Elbert Smith , Jose Abelardo Sanchez Puente
CPC classification number: G01M99/008 , E21B41/00 , G01M13/028 , G01M13/045
Abstract: A method of testing and monitoring operational integrity of a drilling rig is described. The method includes operating the drilling rig in a non-drilling mode at a sequence of different phases including an acceleration phase, a constant speed phase, and a decelerating phase, collecting sensor data associated with one or more components of the drilling rig while the drilling is operated in the non-drilling mode at the sequence of different phases, and analyzing the collected sensor data to determine the operational integrity of the drilling rig. The analyzed data, together with previously stored historical data is used to estimate the life expectancy of the rig and monitor, plan, control, or report maintenance activity for the drilling rig, top drive, or any other system.
Abstract translation: 描述了一种测试和监测钻机操作完整性的方法。 该方法包括以不同阶段的序列操作钻机，包括加速阶段，恒速阶段和减速阶段，在钻探期间收集与钻机的一个或多个部件相关联的传感器数据 以不同阶段的顺序在非钻井模式下运行，并分析收集的传感器数据以确定钻机的操作完整性。 分析的数据以及以前存储的历史数据用于估计钻机的预期寿命，并监测，计划，控制或报告钻机，顶部驱动器或任何其他系统的维护活动。
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公开(公告)号：US10520397B2
公开(公告)日：2019-12-31
申请号：US14403999
申请日：2012-05-31
Applicant: Robert X. Gao , Jinjiang Wang , Ruqiang Yan , Brian Charles Ellis , Boone Elbert Smith , Jose Abelardo Sanchez Puente
Inventor： Robert X. Gao , Jinjiang Wang , Ruqiang Yan , Brian Charles Ellis , Boone Elbert Smith , Jose Abelardo Sanchez Puente
Abstract: Multiple methods and corresponding apparatuses for efficient and reliable defect diagnosis in components of mechanical systems, are described. According to one aspect, multi-scale enveloping-order spectrogram is used to diagnose, or detect, defects in a moving component of a mechanical system. According to another aspect, defect identification and diagnosis in a motor is performed based on spectral characteristics of motor current envelope. According to yet another aspect, a logic rule model, employing classification of features associated with single- or multi-sensor data, is employed for diagnosis of defects in components of mechanical systems.
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3.发明授权Multi-scale enveloping spectrogram signal processing for condition monitoring and the like 失效用于状态监测的多尺度包络光谱图信号处理等公开(公告)号：US07602985B2
公开(公告)日：2009-10-13
申请号：US11521090
申请日：2006-09-14
Applicant: Robert X. Gao , Ruqiang Yan
Inventor： Robert X. Gao , Ruqiang Yan
CPC classification number: G06K9/00523 , G01H1/06
Abstract: A signal processing technique that decomposes complex, dynamically changing non-stationary signals from machine components such as bearings into different scales by means of a continuous wavelet transform. The envelope signal in each scale is then calculated from the modulus of the wavelet coefficients. Subsequently, Fourier transform is performed repetitively on the envelope of the signal at each scale, resulting in an “envelope spectrum” of the original signal at the various scales. The final output is a three-dimensional scale-frequency map that indicates the intensity and location of the defect-related frequency lines. The technique is generic in nature, and applicable not only to machine condition monitoring, but also to the health monitoring of a wide range of dynamic systems, including human beings.
Abstract translation: 一种信号处理技术，其通过连续小波变换将复杂的，动态变化的非平稳信号从诸如轴承的机器部件分解成不同的尺度。 然后从小波系数的模数计算每个刻度中的包络信号。 随后，在每个刻度的信号的包络上重复执行傅里叶变换，从而产生各种尺度上原始信号的“包络谱”。 最终的输出是一个三维的比例 - 频率图，它指示与缺陷相关的频率线的强度和位置。 该技术本质上是通用的，不仅适用于机器状态监测，还适用于包括人类在内的广泛动态系统的健康监测。
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4.发明申请MULTI-SCALE ENVELOPING SPECTROGRAM SIGNAL PROCESSING FOR CONDITION MONITORING AND THE LIKE 失效用于条件监测和类似的多尺度信号光谱信号处理公开(公告)号：US20090222228A1
公开(公告)日：2009-09-03
申请号：US11521090
申请日：2006-09-14
Applicant: Robert X. Gao , Ruqiang Yan
Inventor： Robert X. Gao , Ruqiang Yan
CPC classification number: G06K9/00523 , G01H1/06
Abstract: A signal processing technique that decomposes complex, dynamically changing non-stationary signals from machine components such as bearings into different scales by means of a continuous wavelet transform. The envelope signal in each scale is then calculated from the modulus of the wavelet coefficients. Subsequently, Fourier transform is performed repetitively on the envelope of the signal at each scale, resulting in an “envelope spectrum” of the original signal at the various scales. The final output is a three-dimensional scale-frequency map that indicates the intensity and location of the defect-related frequency lines. The technique is generic in nature, and applicable not only to machine condition monitoring, but also to the health monitoring of a wide range of dynamic systems, including human beings.
Abstract translation: 一种信号处理技术，其通过连续小波变换将复杂的，动态变化的非平稳信号从诸如轴承的机器部件分解成不同的尺度。 然后从小波系数的模数计算每个刻度中的包络信号。 随后，在每个刻度的信号的包络上重复执行傅里叶变换，从而产生各种尺度上原始信号的“包络谱”。 最终的输出是一个三维的比例 - 频率图，它指示与缺陷相关的频率线的强度和位置。 该技术本质上是通用的，不仅适用于机器状态监测，还适用于包括人类在内的广泛动态系统的健康监测。
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