SYSTEMS AND METHODS FOR MONITORING OF MECHANICAL AND ELECTRICAL MACHINES

    公开(公告)号:US20200182684A1

    公开(公告)日:2020-06-11

    申请号:US16608563

    申请日:2018-04-09

    Abstract: A system for continuously monitoring at least one machine including a plurality of magnetic sensors synchronously sensing magnetic fields emitted by at least one machine, the plurality of magnetic sensors sensing the magnetic fields along a corresponding plurality of channels and outputting magnetic field emission signals corresponding to the magnetic fields, a signal analyzer receiving at least a portion of the magnetic field emission signals and performing analysis of the magnetic field emission signals, the signal analyzer providing an output based on the analysis, the output including at least an indication of a condition of the at least one machine and a control module receiving the indication of the condition and initiating at least one of a repair event on the at least one machine, an adjustment to a maintenance schedule of the at least one machine and an adjustment to an operating parameter of the at least one machine based on the indication, whereby efficacy of the at least one machine is improved.

    AUTOMATIC MECHANICAL SYSTEMS DIAGNOSIS
    12.
    发明申请

    公开(公告)号:US20190323996A1

    公开(公告)日:2019-10-24

    申请号:US16402722

    申请日:2019-05-03

    Abstract: A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

    AUTOMATIC MECHANICAL SYSTEM DIAGNOSIS
    13.
    发明申请
    AUTOMATIC MECHANICAL SYSTEM DIAGNOSIS 有权
    自动机械系统诊断

    公开(公告)号:US20140114612A1

    公开(公告)日:2014-04-24

    申请号:US13657037

    申请日:2012-10-22

    Abstract: A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

    Abstract translation: 一种用于自动诊断一组共享机械特性的机械系统的机械系统的方法包括获得与振动有关的数据。 振动相关数据由被配置为与远程处理器进行通信的便携式通信设备获取。 处理器通过应用与获得的振动相关数据的关系来自动诊断机械系统。 该关系基于先前从机械系统获得的振动相关数据集合。 每组振动相关数据都涉及机械系统的振动。 该关系还基于先前为该组的机械系统获得的操作数据集。 每组操作数据表示机械系统的先前操作状态。 先前的操作状态中的每一个与先前获得的振动相关数据集中的至少一个相关联。

    AUTOMATIC MECHANICAL SYSTEMS DIAGNOSIS

    公开(公告)号:US20250012762A1

    公开(公告)日:2025-01-09

    申请号:US18892414

    申请日:2024-09-22

    Abstract: A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

    Systems and methods for acoustic emission monitoring of semiconductor devices

    公开(公告)号:US11493482B2

    公开(公告)日:2022-11-08

    申请号:US16337712

    申请日:2017-10-03

    Abstract: A system for monitoring and identifying states of a semiconductor device, the system including at least one acoustic sensor for sensing acoustic emission emitted by at least one semiconductor device operating at a voltage of less than or equal to 220 V, the at least one acoustic sensor outputting at least one acoustic emission signal and a signal processing unit for receiving the at least one acoustic emission signal from the at least one acoustic sensor and for analyzing the at least one acoustic emission signal, the signal processing unit providing an output based on the analyzing, the output being indicative at least of whether the at least one semiconductor device is in an abnormal operating state with respect to a normal operating state of the semiconductor device.

    AUTOMATED ANALYSIS OF NON-STATIONARY MACHINE PERFORMANCE

    公开(公告)号:US20220011763A1

    公开(公告)日:2022-01-13

    申请号:US17291849

    申请日:2019-11-07

    Abstract: A method for monitoring at least one machine including causing at least a first sensor to acquire at least a first non-stationary signal from at least one machine operating in a non-stationary manner during at least one operational time frame, the at least first sensor providing at least a first non-stationary output, causing at least a second sensor to acquire at least a second non-stationary signal from the at least one machine during the operational time frame, the at least second sensor providing at least a second non-stationary output, fusing the at least first non-stationary output with the at least second non-stationary output to produce a fused output, extracting at least one feature of at least one of the first and second non-stationary signals based on the fused output, analyzing the at least one feature to ascertain a state of health of the at least one machine and performing at least one of a repair operation, maintenance operation and modification of operating parameters of the at least one machine based on the state of health as found by the analyzing.

    Automatic mechanical systems diagnosis

    公开(公告)号:US10983097B2

    公开(公告)日:2021-04-20

    申请号:US16402722

    申请日:2019-05-03

    Abstract: A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

    CONDITION MONITORING OF ELECTRICAL DEVICES

    公开(公告)号:US20250035693A1

    公开(公告)日:2025-01-30

    申请号:US18715190

    申请日:2022-12-01

    Abstract: A method for monitoring and identifying electrical discharge generated by electrical devices including collecting output indications of at least one physical parameter related to electrical discharge and sensed from a plurality of electrical devices operating at a voltage at which electrical discharge may occur, generating a unified model representative of behavior of the plurality of electrical devices based at least on the output indications of the at least one physical parameter sensed from the plurality of electrical devices, applying the model to output indications of the at least one physical parameter sensed from at least one given electrical device operating at a voltage at which electrical discharge may occur, identifying, at least by the applying of the model, at least one electrical-discharge related condition of the given electrical device, and automatically providing a human sensible output notification including an indication of the at least one identified condition.

    AUTOMATED ANALYSIS OF NON-STATIONARY MACHINE PERFORMANCE

    公开(公告)号:US20240255942A1

    公开(公告)日:2024-08-01

    申请号:US18436253

    申请日:2024-02-08

    CPC classification number: G05B23/0283 G01M13/00 G05B23/0254

    Abstract: A method for monitoring at least one machine including causing at least a first sensor to acquire at least a first non-stationary signal from at least one machine operating in a non-stationary manner during at least one operational time frame, the at least first sensor providing at least a first non-stationary output, causing at least a second sensor to acquire at least a second non-stationary signal from the at least one machine during the operational time frame, the at least second sensor providing at least a second non-stationary output, fusing the at least first non-stationary output with the at least second non-stationary output to produce a fused output, extracting at least one feature of at least one of the first and second non-stationary signals based on the fused output, analyzing the at least one feature to ascertain a state of health of the at least one machine and performing at least one of a repair operation, maintenance operation and modification of operating parameters of the at least one machine based on the state of health as found by the analyzing.

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