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Related Experiment Video

Updated: Dec 31, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

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Optimization of switch diagnostics on the MAIZE linear transformer driver.

A P Shah¹, P C Campbell², S M Miller²

¹Applied Physics Program, University of Michigan, Ann Arbor, Michigan 48109, USA.

The Review of Scientific Instruments

|January 3, 2020

Summary

This summary is machine-generated.

This study introduces a novel diagnostic technique for monitoring high-current pulsed power facilities like MAIZE. It efficiently tracks spark-gap switch performance using a combinatorial encoding scheme with fewer channels.

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Area of Science:

Pulsed Power Science
Electrical Engineering
Diagnostic Techniques

Background:

The MAIZE Linear Transformer Driver utilizes 40 parallel capacitor-switch-capacitor bricks for high-current pulse generation.
Spark-gap switches in these bricks emit light upon discharge, crucial for performance monitoring.
Traditional monitoring methods face limitations due to the large number of switches and limited oscilloscope channels.

Purpose of the Study:

To develop and demonstrate an optimized diagnostic technique for monitoring spark-gap switch performance in pulsed power facilities.
To address the challenge of monitoring numerous switches with limited available diagnostic channels.

Main Methods:

A combinatorial encoding scheme was implemented, treating photomultiplier tubes (PMTs) as binary digits (bits).
Each switch's light emission is monitored by a unique combination of fiber optic, PMT, and oscilloscope channels.
The formula 2^N = X + 1 quantifies the required channels (N) for monitoring X switches.

Main Results:

The technique successfully identified single switch prefiring or late-firing on the MAIZE facility using only six PMT-oscilloscope channels.
Demonstrated the practical application of this optimized diagnostic method on a large-scale pulsed power system.
Analysis indicates scalability for monitoring tens of thousands of switches in future facilities.

Conclusions:

The combinatorial encoding technique offers an efficient solution for monitoring numerous spark-gap switches in pulsed power systems.
This method significantly reduces the number of required diagnostic channels, overcoming previous limitations.
The technique shows promise for application in next-generation pulsed power facilities requiring large-scale switch monitoring.