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公开(公告)号：US20220334573A1
公开(公告)日：2022-10-20
申请号：US17639795
申请日：2020-09-03
Applicant: AUGURY SYSTEMS LTD.
Inventor： Ori NEGRI , Christopher BETHEL , Daniel BARSKY , Gal BEN-HAIM , Gal SHAUL , Saar YOSKOVITZ
IPC: G05B23/02
Abstract: 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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公开(公告)号：US20200182684A1
公开(公告)日：2020-06-11
申请号：US16608563
申请日：2018-04-09
Applicant: Augury Systems Ltd.
Inventor： Saar YOSKOVITZ , Gal SHAUL , Ori NEGRI , Eduard RUDYK , Gal BEN-HAIM
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.
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公开(公告)号：US20220011763A1
公开(公告)日：2022-01-13
申请号：US17291849
申请日：2019-11-07
Applicant: AUGURY SYSTEMS LTD.
Inventor： Ori NEGRI , Daniel BARSKY , Gal BEN-HAIM , Saar YOSKOVITZ , Gal SHAUL
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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公开(公告)号：US20240069539A1
公开(公告)日：2024-02-29
申请号：US18505221
申请日：2023-11-09
Applicant: AUGURY SYSTEMS LTD.
Inventor： Ori NEGRI , Christopher BETHEL , Daniel BARSKY , Gal BEN-HAIM , Gal SHAUL , Saar YOSKOVITZ
IPC: G05B23/02
CPC classification number: G05B23/024 , G05B23/0281 , G05B23/0283
Abstract: 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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公开(公告)号：US20230114296A1
公开(公告)日：2023-04-13
申请号：US18078320
申请日：2022-12-09
Applicant: AUGURY SYSTEMS LTD.
Inventor： Ori NEGRI , Daniel BARSKY , Gal BEN-HAIM , Saar YOSKOVITZ , Gal SHAUL
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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Patent Agency Ranking
公开(公告)号：US20230080171A1
公开(公告)日：2023-03-16
申请号：US17934395
申请日：2022-09-22
Applicant: Augury Systems Ltd.
Inventor： Saar YOSKOVITZ , Gal SHAUL , Ori NEGRI , Eduard RUDYK , Gal BEN-HAIM
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.
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公开(公告)号：US20200033297A1
公开(公告)日：2020-01-30
申请号：US16337712
申请日：2017-10-03
Applicant: AUGURY SYSTEMS LTD.
Inventor： Eduard RUDYK , Ori NEGRI , Gal SHAUL , Saar YOSKOVITZ
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.
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公开(公告)号：US20240255942A1
公开(公告)日：2024-08-01
申请号：US18436253
申请日：2024-02-08
Applicant: AUGURY SYSTEMS LTD.
Inventor： Ori NEGRI , Daniel BARSKY , Gal BEN-HAIM , Saar YOSKOVITZ , Gal SHAUL
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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公开(公告)号：US20240068864A1
公开(公告)日：2024-02-29
申请号：US18504727
申请日：2023-11-08
Applicant: AUGURY SYSTEMS LTD.
Inventor： Saar YOSKOVITZ , Gal SHAUL , Ori NEGRI , Eduard RUDYK , Gal BEN-HAIM
CPC classification number: G01H1/003 , G01H1/04 , G01R33/02 , G05B23/0283
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.
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公开(公告)号：US20230273159A1
公开(公告)日：2023-08-31
申请号：US18312440
申请日：2023-05-04
Applicant: AUGURY SYSTEMS LTD.
Inventor： Eduard RUDYK , Ori NEGRI , Gal SHAUL , Saar YOSKOVITZ
CPC classification number: G01N29/14 , G01H1/00 , G01N29/4427 , G01N29/4436 , G01N2291/2697
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.
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