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US5677998A Expired / Lapsed US ⏱️ 0.0 years remaining

Apparatus for pulsed electrical circuitry

Assignee: Sellafield Ltd
•
Filing: 1993-08-23
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Granted: 1997-10-14
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Expires: 2013-08-23
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Abstract

Abstract Apparatus for pulsed electrical power circuitry includes a pulsed power supply circuit, monitor for monitoring a voltage or current characteristic within the supply circuit and an artificial neural network trained to identify whether the detected characteristic is acceptable or harmful and adapted to produce an output accordingly. The circuit may be arranged to deliver its output to a gas discharge load and the output of the trained network may be adapted to be fed to control a parameter in the circuit or in the load whereby a harmful condition in the circuit may be avoided.

Inventors

  • 👤 John Mark Buckley

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-10-30 14:06
CPC Classifications
H; H05; H05B; H05B41/00; H05B41/14; H05B41/30; H05B41/34; H01; H01S; H01S3/00; H01S3/10; H01S3/13; H01S3/131; H01S3/134; H01S5/00; H01S5/04; H01S5/042; H01S5/0428

Claims Analysis

Total Claims: 14
Claim 1
Independent Claim 72 words
Apparatus for monitoring pulsed electrical power circuitry for driving a high power laser, said apparatus including: a pulsed high power laser power supply circuit, monitor means for monitoring a voltage or current characteristic within the pulsed high power laser power supply circuit, and an artificial neural network for identifying, based upon comparison with stored acceptable and harmful characteristics, whether the monitored characteristic is acceptable or harmful and for producing an output accordingly.
Claim 2
Dependent Claim 72 words
Apparatus for monitoring pulsed electrical power circuitry for driving a high power laser, said apparatus including: a pulsed high power laser power supply circuit, monitor means for monitoring a voltage or current characteristic within the pulsed high power laser power supply circuit, and an artificial neural network for identifying, based upon comparison with stored acceptable and harmful characteristics, whether the monitored characteristic is acceptable or harmful and for producing an output accordingly.
Claim 3
Dependent Claim 52 words
Apparatus as claimed in claim 1 and wherein the circuit is connected to deliver an output to a gas discharge load and the output of the artificial neural network is fed to control a parameter in the circuit or in the load whereby a harmful condition in the circuit may be avoided.
Claim 4
Dependent Claim 28 words
Apparatus as claimed in claim 2 wherein the output of the artificial neural network is connected to the load to adjust or control a parameter of the load.
Claim 5
Dependent Claim 15 words
Apparatus as claimed in claim 1 and wherein the laser is a copper vapour laser.
Claim 6
Dependent Claim 32 words
Apparatus as claimed in claim 1 and wherein the pulsed power circuit includes a thyratron and the characteristic to be monitored by the monitor means comprises a voltage waveform across the thyratron.
Claim 7
Dependent Claim 31 words
Apparatus as claimed in claim 5 and wherein the characteristic to be monitored by the monitor means comprises a voltage waveform during a first microsecond immediately after the thyratron has fired.
Claim 8
Dependent Claim 34 words
Apparatus as claimed in claim 5 and wherein the characteristic to be monitored by the monitor means comprises a voltage waveform during periods longer than a first microsecond immediately after the thyratron has fired.
Claim 9
Dependent Claim 32 words
Apparatus as claimed in claim 1 wherein the output of the artificial neural network produces a control signal which allows control of the circuit to avoid a situation harmful to the circuit.
Claim 10
Dependent Claim 47 words
Apparatus as claimed in claim 1 wherein the artificial neural network has been trained by storage of a set of signals representing a variety of monitored sample waveforms in the pulsed power supply circuit together with designations as to whether the sample waveforms are acceptable or unacceptable.
Claim 11
Dependent Claim 46 words
Apparatus as claimed in claim 9 wherein the artificial neural network has been trained by a process in which decisions as to whether the sample waveforms are acceptable or unacceptable has been made by a human operator who has observed the sample waveforms on a display.
Claim 12
Dependent Claim 21 words
Apparatus as claimed in claim 10 wherein an input to the trained artificial neural network is also obtained form the display.
Claim 13
Dependent Claim 47 words
Apparatus as claimed in claim 1 wherein the artificial neural network is adapted to provide an output to a further neural network which itself is adapted to receive inputs from other monitors arranged to monitor a state of various parameters of a system being monitored and controlled.
Claim 14
Dependent Claim 40 words
Apparatus as in claim 13 wherein a said further neural network is adapted to receive inputs from a plurality of neural networks each providing an output relating to an acceptability of a parameter of the system being monitored and controlled.

References Cited (Backward Citations)

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JPH02296162A Cited
EP0425309A2 Cited
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USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2000-10-13 2001-04-14 2001-10-14 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2004-10-13 2005-04-14 2005-10-14 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2008-10-13 2009-04-14 2009-10-14 $7700.00 Window Closed / Lapsed

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