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FAULT - Zenodo

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Last Updated: 24 September 2022

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Integrated data aggregation with fault-tolerance and lifetime energy-aware adaptive routing in coffee plantations using WSNs

Arabicica coffee’s agricultural products, particularly the coffee white stem borer, has caused damage to many emerging countries' economic growth. By capturing the location with the use of a wireless sensor networks and blocking the exit point at the user's location, the pest multiplier can be reduced. To exchange the detected pest location data, we recommend an integrated data aggregation with fault tolerance and lifetime energy-aware adaptive routing.

Source link: https://zenodo.org/record/7107111


Increasing life-time of wireless sensor network using energyefficient and fault tolerance algorithms

Wireless sensor networks' energy-efficiency is a key issue in the research field. By three algorithms, this paper presented energy-efficient and fault-tolerance algorithms that can improve the low energy adaptive clustering hierarchy protocol. The first focuses on selecting the right cluster head, while the second focuses on minimizing the number of required nodes within the same cluster. Simultaneously, the third fault tolerance algorithm uses software engineering tools such as sleep schedules to extend network lifetime as much as possible.

Source link: https://zenodo.org/record/7100052


Internal mode control based coordinated controller for brushless doubly fed induction generator in wind turbines during fault conditions

Due to their easily accessible design, brushless double fed induction generator based machines have gained traction in wind turbine applications. For the seamless integration of renewable energy with the power grid, a low voltage ride through is absolutely essential. Firstly, the scheme does not consider LVRT as a design metric, and secondly, these methods do not have any means for coordinating between a machine side inverter and grid side inverter. In addition, the simulation results for wind turbine generators show that the new design significantly raises the stability and compliance of grid codes as compared to the existing hardware methods.

Source link: https://zenodo.org/record/7098496


Two-terminal fault detection and location for hybrid transmission circuit

To determine the presence of a fault, a fault detection algorithm was developed using the comparison of complete positive-sequence fault current between pre-fault and fault times. The proposed method detected all fault conditions, including various fault types, fault resistance, and fault locations within 1 cycle from fault initiation and correct fault identification. Besides that, the fault location algorithm also has very accurate results of fault estimation, with average error less than 1%.

Source link: https://zenodo.org/record/7098492


Single line to ground fault detection and location in medium voltage distribution system network based on neural network

The purpose of this investigation was to identify and locate single ground failure lines that occur in medium voltage transmission lines on the transmission lines. The overall error between them was found to be extremely poor and not to exceed 0. 7 percent for all the simulated location faults that have been used with those all locations that have been found in the NN algorithm.

Source link: https://zenodo.org/record/7098500


Research on wind turbine gearbox fault diagnosis with deep transfer learning method

The operating condition of the wind turbine gearbox as the most complex component of the transmission system has a major effect on the monitoring of the health of the wind turbine equipment's operation and maintenance control. The gearbox configuration problem in deep transfer structures is often arbitrary, so a hierarchical transfer network structure hyper-parameter searching algorithm is often recommended to solve the gearbox planetary system fault classification issue. To increase the reliability and recognition speed of fault diagnosis model classification analysis, fault data analysis was developed and produced for fault models. Eventually, the effects of the transfer learning technique and the effects of hyper-parameters on the final results of the network architecture are confirmed, with the same number of samples in the source and target domains, as well as different sampling sizes and sample sizes.

Source link: https://zenodo.org/record/7084068


Onshore Buried Steel Fuel Pipelines at Fault Crossings: A Review of Critical Analysis and Design Aspects

Onshore buried steel pipeline infrastructure is a vital component of the fuel 6 supply system. Pipeline failure due to seismic activity is both socially, environmentally, and 7 economically unaffordable, and consequently, the construction of pipelines in geohazard areas, such as fault 8 crossings, remains a hot topic for pipeline designers.

Source link: https://zenodo.org/record/7075122


Fault diagnosis of a squirrel cage induction motor fed by an inverter using lissajous curve of an auxiliary winding voltage

The increase in the induction machine's productivity has been thanks to the development of power electronics components. In fact, monitoring squirrel cage induction motors driven by rectifiers and inverters has been a point of worry. In a non-infected situation that is a reference, the emphasis will particularly be on modeling both the squirrel cage induction machine and the inverter. In addition, the specific expressions developed for the inserted winding voltage and its Park components will be presented.

Source link: https://zenodo.org/record/7073137


Presentation of a fault tolerance algorithm for design of quantum-dot cellular automata circuits

The polarization of output cell will be demonstrated by then by determining missing cell on the discussed circuit, and comparison of it with a safe state or software simulation will be established. The advantages of algorithmic action include the investigation of multiple damaged cells rather than just one and special cell, a noticeably faster speed of the algorithm than traditional manual methods, expandability of this algorithm for variable circuits, beyond the four-dot square of QCA circuits, and the investigation of multiple damaged cells rather than just one and special cell.

Source link: https://zenodo.org/record/7069142


Diagnosis and localization of fault for a neutral point clamped inverter in wind energy conversion system using artificial neural network technique

Power electronics play a vital role in a variety of industries, helping to achieve high quality and reliability in the field of clean energy conversion. This research provides an error detection system for insulated-gate bipolar transistor open-circuit failures in a three-level diode-clamped inverter of a wind energy conversion device predicated on a doubly-fed induction generator in order to prevent any undesirable effects or disruptions that negatively impact service quality in the field of energy production. In the power switches of a doubly-fed induction generator in a wind energy conversion scheme, the recommended techniques are intended for the detection of one or two open-circuit faults. In one or two more neutral points clamped inverter switches, the primary goal of this fault diagnosis device is to efficiently detect and report failures in one or two more neutral points clamped inverter switches.

Source link: https://zenodo.org/record/7068497

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions