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1. 发明申请

WO2018069922A2 SYSTEMS AND METHODS FOR ACOUSTIC EMISSION MONITORING OF SEMICONDUCTOR DEVICES 审中-公开
标题翻译：用于半导体器件的声发射监测的系统和方法
公开(公告)号：WO2018069922A2
公开(公告)日：2018-04-19
申请号：PCT/IL2017/051123
申请日：2017-10-03
申请人： AUGURY SYSTEMS LTD.
发明人： RUDYK, Eduard , NEGRI, Ori , SHAUL, Gal , YOSKOVITZ, Saar
IPC分类号： G01R9/02
摘要： 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.
摘要翻译：一种用于监视和识别半导体器件的状态的系统，所述系统包括至少一个声传感器，用于感测由至少一个半导体器件发射的声发射，所述半导体器件在小于或等于220 V，所述至少一个声学传感器输出至少一个声发射信号，以及信号处理单元，用于接收来自所述至少一个声学传感器的所述至少一个声发射信号并用于分析所述至少一个声发射信号，所述信号处理单元，基于所述分析提供输出，所述输出至少指示所述至少一个半导体器件相对于所述半导体器件的正常操作状态是否处于异常操作状态。

2. 发明申请

WO2018069922A3 SYSTEMS AND METHODS FOR ACOUSTIC EMISSION MONITORING OF SEMICONDUCTOR DEVICES 审中-公开
公开(公告)号：WO2018069922A3
公开(公告)日：2018-04-19
申请号：PCT/IL2017/051123
申请日：2017-10-03
申请人： AUGURY SYSTEMS LTD.
发明人： RUDYK, Eduard , NEGRI, Ori , SHAUL, Gal , YOSKOVITZ, Saar
IPC分类号： G01N29/00 , G01D7/00 , G01H1/00 , G01R31/28
摘要： 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.

3. 发明申请

WO2014064678A1 AUTOMATIC MECHANICAL SYSTEM DIAGNOSIS 审中-公开
标题翻译：自动机械系统诊断
公开(公告)号：WO2014064678A1
公开(公告)日：2014-05-01
申请号：PCT/IL2013/050825
申请日：2013-10-14
申请人： AUGURY SYSTEMS LTD.
发明人： YOSKOVITZ, Saar , SHAUL, Gal
IPC分类号： G05B23/00 , G01H5/00
CPC分类号： G01N29/14 , G01H1/003 , G01H1/04 , G01H3/08 , G01H9/00 , G01M13/028 , G01M13/045 , G01N29/2481 , G01N29/46
摘要： 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.
摘要翻译：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。

4. 发明专利

PT2909685T DIAGNÓSTICO DO SISTEMA MECÂNICO AUTOMÁTICO 未知
公开(公告)号：PT2909685T
公开(公告)日：2022-05-06
申请号：PT13848354
申请日：2013-10-14
申请人： AUGURY SYSTEMS LTD
IPC分类号： G05B23/00 , G01H5/00

5. 发明申请

WO2023079562A1 IMPLEMENTING OPERATING PARAMETERS IN INDUSTRIAL PROCESSES 审中-公开
公开(公告)号：WO2023079562A1
公开(公告)日：2023-05-11
申请号：PCT/IL2022/051180
申请日：2022-11-08
申请人： AUGURY SYSTEMS LTD.
发明人： AKAVIA, Lior , AKAVIA, Liran , NARDI, Yuval , ROSENBERG, Yehoshua , SCHERF, Yaron
IPC分类号： G06N3/126 , G05B13/02 , G06N3/086
摘要： A method for implementing an optimal set of operating parameters (SOP) in an industrial process, including providing operational data, the operational data including a multiplicity of historical SOPs, applying an evolutionary algorithm (EA) to the operational data, thereby identifying an optimal SOP, the applying including supplying to the EA a subset of the historical SOPs, employing the subset of the historical SOPs in breeding a multiplicity of candidate SOPs and selecting an optimal SOP from the candidate SOPs, and implementing the optimal SOP in the industrial process, and a system for implementing the method.

6. 发明申请

WO2021044418A1 SENSOR-AGNOSTIC MECHANICAL MACHINE FAULT IDENTIFICATION 审中-公开
公开(公告)号：WO2021044418A1
公开(公告)日：2021-03-11
申请号：PCT/IL2020/050958
申请日：2020-09-03
申请人： AUGURY SYSTEMS LTD.
发明人： NEGRI, Ori , BETHEL, Christopher , BARSKY, Daniel , BEN-HAIM, Gal , SHAUL, Gal , YOSKOVITZ, Saar
IPC分类号： G16Z99/00
摘要： A method for identifying a fault of at least one mechanical machine, including causing a first plurality of sensors coupled to a corresponding first plurality of mechanical machines to acquire a first plurality of sets of signals emanating from the first plurality of mechanical machines, the first plurality of mechanical machines sharing at least one characteristic, supplying at least the first plurality of sets of signals of the first plurality of mechanical machines to a pre-existing fault classifier previously trained to automatically identify faults of a second plurality of mechanical machines based on signals emanating therefrom and previously acquired by a second plurality of sensors, the second plurality of sensors being of a different type than the first plurality of sensors, the second plurality of mechanical machines sharing the at least one characteristic, modifying the pre-existing fault classifier by employing transfer learning, based at least on the first plurality of sets of signals of the first plurality of mechanical machines, thereby providing a modified fault classifier, applying the modified fault classifier to at least one additional set of signals acquired by at least one sensor of the first plurality of sensors and emanating from at least one given mechanical machine sharing the at least one characteristic, the modified fault classifier being configured to automatically identify at least one fault of the at least one given mechanical machine based on the at least one additional set of signals, and providing a human sensible output, by an output device, including at least identification of the fault of the at least one given mechanical machine, at least one of a repair or maintenance operation being performed based on the human sensible output.

7. 发明申请

WO2020095303A1 AUTOMATED ANALYSIS OF NON-STATIONARY MACHINE PERFORMANCE 审中-公开
公开(公告)号：WO2020095303A1
公开(公告)日：2020-05-14
申请号：PCT/IL2019/051217
申请日：2019-11-07
申请人： AUGURY SYSTEMS LTD.
发明人： NEGRI, Ori , BARSKY, Daniel , BEN-HAIM, Gal , YOSKOVITZ, Saar , SHAUL, Gal
IPC分类号： G05B23/02 , G01M13/02 , G01M13/028 , G05B23/00
摘要： 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.

8. 发明申请

WO2018198111A1 SYSTEMS AND METHODS FOR MONITORING OF MECHANICAL AND ELECTRICAL MACHINES 审中-公开
公开(公告)号：WO2018198111A1
公开(公告)日：2018-11-01
申请号：PCT/IL2018/050410
申请日：2018-04-09
申请人： AUGURY SYSTEMS LTD.
发明人： YOSKOVITZ, Saar , SHAUL, Gal , NEGRI, Ori , RUDYK, Eduard , BEN-HAIM, Gal
IPC分类号： G01H1/00 , G01H1/04 , G01H3/08 , G01H9/00 , G01N29/14 , G06F11/30
摘要： 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.

9. 发明专利

IN4150DEN2015A AUTOMATIC MECHANICAL SYSTEM DIAGNOSIS 未知
公开(公告)号：IN4150DEN2015A
公开(公告)日：2015-10-16
申请号：IN4150DEN2015
申请日：2015-05-15
申请人： AUGURY SYSTEMS LTD
发明人： YOSKOVITZ SAAR , SHAUL GAL
IPC分类号： G05B23/00 , G01H5/00
摘要： 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.

10. 发明公开

US20240069539A1 SENSOR-AGNOSTIC MECHANICAL MACHINE FAULT IDENTIFICATION 审中-公开
公开(公告)号：US20240069539A1
公开(公告)日：2024-02-29
申请号：US18505221
申请日：2023-11-09
申请人： AUGURY SYSTEMS LTD.
发明人： Ori NEGRI , Christopher BETHEL , Daniel BARSKY , Gal BEN-HAIM , Gal SHAUL , Saar YOSKOVITZ
IPC分类号： G05B23/02
CPC分类号： G05B23/024 , G05B23/0281 , G05B23/0283
摘要： A method for identifying a fault of at least one mechanical machine, including causing a first plurality of sensors coupled to a corresponding first plurality of mechanical machines to acquire a first plurality of sets of signals emanating from the first plurality of mechanical machines, the first plurality of mechanical machines sharing at least one characteristic, supplying at least the first plurality of sets of signals of the first plurality of mechanical machines to a pre-existing fault classifier previously trained to automatically identify faults of a second plurality of mechanical machines based on signals emanating therefrom and previously acquired by a second plurality of sensors, the second plurality of sensors being of a different type than the first plurality of sensors, the second plurality of mechanical machines sharing the at least one characteristic, modifying the pre-existing fault classifier by employing transfer learning, based at least on the first plurality of sets of signals of the first plurality of mechanical machines, thereby providing a modified fault classifier, applying the modified fault classifier to at least one additional set of signals acquired by at least one sensor of the first plurality of sensors and emanating from at least one given mechanical machine sharing the at least one characteristic, the modified fault classifier being configured to automatically identify at least one fault of the at least one given mechanical machine based on the at least one additional set of signals, and providing a human sensible output, by an output device, including at least identification of the fault of the at least one given mechanical machine, at least one of a repair or maintenance operation being performed based on the human sensible output.

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