Deep‐learning‐based nuclear power plant fault detection using remote light‐emitting diode array data transmission

Choi, You-Rack; Bae, Ji Hoon; Yeo, Doyeob; Cho, Dongyun; Lee, Jaecheol; Lee, Jeonghan; Kwon, Oh-Seok

doi:10.1002/mop.32974

Cited by 6 publications

(4 citation statements)

References 15 publications

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“…To calculate the entropy of each encryption algorithm's output, we utilized the Shannon entropy formula, which is a measure of the unpredictability or randomness in a set of data. Specifically, the entropy was computed using the formula 𝐻(𝑋) = − ∑ 𝑝(𝑥 ) log 𝑝(𝑥 ) , as shown in Formula (3). This method provided a quantitative assessment of the data complexity and unpredictability, with higher entropy values indicating greater randomness and, thus, stronger encryption.…”

Section: Discussionmentioning

confidence: 99%

“…Prominent applicable wireless technologies include Bluetooth, Zigbee, Wi-Fi, LoRa, WirelessHART, Terahertz, infrared (IR) communication, and more [2]. Among these technologies, IR, the electromagnetic spectrum of which falls between the red end of visible light and microwaves, offers distinct advantages in the context of monitoring nuclear steam supply systems [3]. While traditional wireless technologies offer a broad spectrum of solutions, the peculiar requirements of NPP environments-characterized by stringent regulatory standards and the critical need for minimal electromagnetic interference-demand a more focused approach.…”

Section: Introductionmentioning

confidence: 99%

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Securing Infrared Communication in Nuclear Power Plants: Advanced Encryption for Infrared Sensor Networks

Park,

Kim,

Moon

2024

Sensors

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This study enhances infrared communication security in nuclear power plants’ secondary systems, addressing the risk of mechanical and cyber failures. A novel random address generator, employing an innovative S-box, was developed to secure IoT sensor data transmissions to gateway nodes, mitigating eavesdropping, interference, and replay attacks. We introduced a structured IR communication protocol, generating unique, encrypted addresses to prevent unauthorized access. Key-dependent S-boxes, based on a compound chaotic map system, significantly improved encryption, increasing data transmission randomness and uniqueness. Entropy analysis and reduced duplicated addresses confirmed the effectiveness of our method, with the Hash-CCM algorithm showing the highest entropy and fewest duplicates. Integrating advanced cryptographic techniques into IR systems significantly enhances nuclear power plants’ security, contributing to the protection of critical infrastructure from cyber threats and ensuring operational integrity.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Securing Infrared Communication in Nuclear Power Plants: Advanced Encryption for Infrared Sensor Networks

Park,

Kim,

Moon

2024

Sensors

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“…The trajectory of the camera was determined using key points. The Cycles (physically based production renderer) graphics engine was used to generate photos, which uses a path-tracking method for realistic lighting simulation (Choi et al, 2021). The add-on saved the camera images to separate files, including a depth map in PFM format and a configuration file (config.cfg) containing the camera parameters and its spatial position.…”

Section: Methodsmentioning

confidence: 99%

Untitled

2023

machinery

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The relevance of developing analytical methods for studying the stability of root crop cleaners on tractors is determined by the need to improve the efficiency and quality of root crop head cleaning, as this affects the quality of the final product and its marketable properties. The research aims to increase the stability of the cleaner movement by constructing a mathematical model of its oscillatory motion in the longitudinal-vertical plane and its numerical solution to determine the influence of parameters in response to external disturbances. To achieve this goal, a new theory of the movement of a root crop head cleaner in the longitudinal-vertical plane, mounted behind a wheeled tractor, under the influence of the disturbing effect of irregularities in the longitudinal profile of the soil surface on the amplitude and phase frequency characteristics of its angular oscillations was developed. Using numerical calculations carried out on a personal computer, the conditions were found under which the stability of the cleaner's movement in the specified plane will increase when the stiffness coefficient of the pneumatic tyres of the doubler wheels is 315 kN•m -1 .• This result is achieved when the pressure in the pneumatic wheel tyres is 135 kPa. As for the damping characteristics of the doubler wheel tyres, which are determined by the coefficient μ, it was found that when it changes from 350 N•s•m -1 to 1350 N•s•m -1 , there is an invariance of the delay in the reaction of the cleaner to the disturbing effect when its frequencies change from 0 to 24 s -1 . It was also found that the influence of the geometric dimensions of the cleaner is insignificant in the range of frequencies of oscillations of the ordinates of the longitudinal profile of soil surface irregularities from 0 to 24 s -1 . This follows from the nature of changes in the obtained amplitude-frequency and phase-frequency characteristics. The methodology for constructing a mathematical model of the plane-parallel oscillatory motion of the cleaner can be used in similar analytical studies of other agricultural machines mounted on a wheeled aggregating tractor

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Section: Methodsmentioning

confidence: 99%

Application of machine learning and computer vision methods to determine the size of NPP equipment elements in difficult measurement conditions

Belytskyi,

Yermolenko,

Petrenko

et al. 2023

Tehnìka ta energetika

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The research relevance is determined by the need to improve the processes of measurement of objects size in hard-to-reach conditions. In the modern industrial environment, where high measurement accuracy is critical for ensuring safety and maximizing the efficiency of production processes, the study of this topic is relevant in the context of rapid technological development and increased requirements for production quality. The study aims to evaluate the possibilities of using modern computer vision methods for measuring and reconstructing objects in difficult technical conditions, such as the enclosure of a water-water power reactor. The study employed 3D photogrammetry methods, including Depth from Stereo and Multi-View Stereo, as well as Structure from Motion methods. The study determined that modern computer vision methods, in particular machine learning methods, can be successfully used for measuring and reconstructing objects in hard-to-reach conditions. The study showed that the measurement accuracy can reach values close to 1 mm under ideal conditions and at a distance of 1.5 from the measuring device to the object. At the same time, the Multi-View Stereo method revealed greater uniformity of the spatial distribution of errors compared to the Depth from the Stereo method. In practice, in the conditions of real photos, the Multi-View Stereo method turned out to be more demanding to accurately determine the position of the camera. Due to its low demand for the exact coordinates of the cameras, the Depth from the Stereo method showed better results, showing less error in the measurements. The study highlighted the possibility of using the proposed method to distinguish fluctuations in the height of the surface of the object, which is important for further applications in the field of reactor maintenance and other areas of industry. The practical value of this research lies in the development and validation of methods for measuring and reconstructing objects in conditions where traditional methods become limited or impractical

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Deep‐learning‐based nuclear power plant fault detection using remote light‐emitting diode array data transmission

Cited by 6 publications

References 15 publications

Securing Infrared Communication in Nuclear Power Plants: Advanced Encryption for Infrared Sensor Networks

Securing Infrared Communication in Nuclear Power Plants: Advanced Encryption for Infrared Sensor Networks

Untitled

Application of machine learning and computer vision methods to determine the size of NPP equipment elements in difficult measurement conditions

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