Calculation of Magnetic Remanence

Davey, K.R.

doi:10.1109/tmag.2009.2014562

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…where t = 0 corresponds to the time the switching command is initiated and τ is an appropriate time constant. The magnetic field produced by the coil induces a change in the magnetic field properties of the permanent magnetic through remanence [7]. To model this process, consider the function φ(t) given by,…”

Section: Modeling and Fingerprinting Of A Latch Relaymentioning

confidence: 99%

Who's in Control of Your Control System? Device Fingerprinting for Cyber-Physical Systems

Formby¹,

Srinivasan²,

Leonard³

et al. 2016

Proceedings 2016 Network and Distributed System Security Symposium

121

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Industrial control system (ICS) networks used in critical infrastructures such as the power grid present a unique set of security challenges. The distributed networks are difficult to physically secure, legacy equipment can make cryptography and regular patches virtually impossible, and compromises can result in catastrophic physical damage. To address these concerns, this research proposes two device type fingerprinting methods designed to augment existing intrusion detection methods in the ICS environment. The first method measures data response processing times and takes advantage of the static and lowlatency nature of dedicated ICS networks to develop accurate fingerprints, while the second method uses the physical operation times to develop a unique signature for each device type. Additionally, the physical fingerprinting method is extended to develop a completely new class of fingerprint generation that requires neither prior access to the network nor an example target device. Fingerprint classification accuracy is evaluated using a combination of a real world five month dataset from a live power substation and controlled lab experiments. Finally, simple forgery attempts are launched against the methods to investigate their strength under attack. Permission to freely reproduce all or part of this paper for noncommercial purposes is granted provided that copies bear this notice and the full citation on the first page. Reproduction for commercial purposes is strictly prohibited without the prior written consent of the Internet Society, the first-named author (for reproduction of an entire paper only), and the author's employer if the paper was prepared within the scope of employment.

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Section: Modeling and Fingerprinting Of A Latch Relaymentioning

confidence: 99%

Who's in Control of Your Control System? Device Fingerprinting for Cyber-Physical Systems

Formby¹,

Srinivasan²,

Leonard³

et al. 2016

Proceedings 2016 Network and Distributed System Security Symposium

121

View full text Add to dashboard Cite

show abstract

“…Developing an understanding of both the induced and permanent magnetic fields around a crack is necessary to interpret the SMFL measurements and determine the crack's geometry reliably. The permanent magnetization of a steel structure varies slowly in time and is affected by remanence [7], stresses [8][9][10][11], and temperature fluctuations [12,13]. The induced magnetization can vary instantaneously and is influenced Menno Patrick van der Horst was affiliated with Delft University of Technology at the time of writing this publication.…”

Section: Introductionmentioning

confidence: 99%

Magnetic Properties of Structural Steels for Simulation of Crack Monitoring by Finite Element Method

Horst

Kaminski

2019

J Nondestruct Eval

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The metal magnetic memory method is a novel technique for monitoring fatigue cracks in steel structures, which can reduce operational expenses and increase safety by minimizing inspections. The crack geometry can be identified by measuring the self magnetic flux leakage, which is induced by the Earth's magnetic field and the permanent magnetization. The finite element method can be used to simulate the induced magnetic field around cracks to help interpret the self magnetic flux leakage measurements, but it is unclear what material properties to use. This study aims to determine the magnetic permeability of structural steel for accurate simulation of the induced magnetic field around cracks by the finite element method. The induced magnetic field was extracted from measurements above two square steel plates, one without defect and one with a straight slit, and compared with finite element results in function of the relative permeability. For both plates, a uniform relative permeability could be found for which experimental and numerical results were in good agreement. For the plate without defect and a relative permeability of 350, errors were within 20% and were concentrated around the plate's edges. For the plate with the slit and a relative permeability of 225, errors were within 5%.

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Permanent-Magnet Equivalent Model of Calculating Relay's Static Attractive Torque Characteristics by Finite Element Method

et al. 2012

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Calculation of Magnetic Remanence

Cited by 4 publications

References 12 publications

Who's in Control of Your Control System? Device Fingerprinting for Cyber-Physical Systems

Who's in Control of Your Control System? Device Fingerprinting for Cyber-Physical Systems

Magnetic Properties of Structural Steels for Simulation of Crack Monitoring by Finite Element Method

Permanent-Magnet Equivalent Model of Calculating Relay's Static Attractive Torque Characteristics by Finite Element Method

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