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Journal articles on the topic 'DYNAMIC TROUBLESHOOTING'

Author: Grafiati

Published: 26 October 2023

Last updated: 31 July 2025

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1

Jia, Mingxing, Zhiheng Pan, Guanghai Li, Chunhua Chen, and Chen Wang. "A Fast Diagnosis Method of Escalator Reversal Faults Based on Dynamic Information and Multiattribute Decision-Making." Journal of Mathematics 2021 (December 20, 2021): 1–10. http://dx.doi.org/10.1155/2021/6294869.

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There are many reasons for escalator reversal failure, and the reasons are distributed in different locations. It is difficult to locate the specific location of the fault in the actual fault troubleshooting. At the same time, the information related to the failure is not used in the troubleshooting, so there is a problem of inefficient troubleshooting. To this end, this paper proposes a multiattribute decision-making method that integrates dynamic information and gives the optimal troubleshooting order to improve the efficiency of the troubleshooting. First of all, according to the structure

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Shirke, Akash Uday. "Troubleshooting Dynamic Investigation Based on Reasoning Techniques by Artificial Intelligence Framework." International Journal of Advance and Applied Research S6, no. 22 (2025): 981–85. https://doi.org/10.5281/zenodo.15534105.

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<em>The increasing complexity of modern systems, such as IoT networks, distributed software architectures, and cloud-based infrastructures, demands intelligent approaches for effective troubleshooting. Traditional diagnostic methods often fall short when dealing with dynamic environments that evolve in real time. This paper explores the use of reasoning techniques within an Artificial Intelligence (AI) framework to facilitate troubleshooting in dynamic systems. By integrating deductive, inductive, and abductive reasoning, the proposed AI- driven framework aims to enable real-time, efficient, a

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Ariff, Idzham Fauzi Mohd, and Mardhiyah Bakir. "Dynamic Simulation of Petrochemical Wastewater Treatment Using Wastewater Plant Simulation Software." MATEC Web of Conferences 203 (2018): 03005. http://dx.doi.org/10.1051/matecconf/201820303005.

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A dynamic simulation model was developed, calibrated and validated for a petrochemical plant in Terengganu, Malaysia. Calibration and validation of the model was conducted based on plant monitoring data spanning 3 years resulting in a model accuracy (RMSD) for effluent chemical oxygen demand (COD), ammoniacal nitrogen (NH3-N) and total suspended solids (TSS) of ±11.7 mg/L, ±0.52 mg/L and ± 3.27 mg/L respectively. The simulation model has since been used for troubleshooting during plant upsets, planning of plant turnarounds and developing upgrade options. A case study is presented where the sim

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Shao, Luchuan, and Bing Zhao. "Troubleshooting of wind turbine gearboxes." Journal of Physics: Conference Series 2918, no. 1 (2024): 012016. https://doi.org/10.1088/1742-6596/2918/1/012016.

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Abstract Qinghai Province is rich in wind power resources, actively building wind power generation clean energy highland, large installed capacity, and in the rapid expansion, how to achieve the safe and stable operation of the wind power base is particularly critical. Wind turbine gearboxes operate 24 hours a day under poor working conditions, and key components are prone to failure, accounting for the highest proportion of maintenance costs, so it is of great significance to research intelligent assessment methods and key technologies for the health status of wind turbine gearboxes. A dynami

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Fath, J. L., C. M. Mitchell, and T. Govindaraj. "An ICAI architecture for troubleshooting in complex, dynamic systems." IEEE Transactions on Systems, Man, and Cybernetics 20, no. 3 (1990): 537–58. http://dx.doi.org/10.1109/21.57268.

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Jesse Huang, H. "An Adaptive Troubleshooting Model for Complex and Dynamic System." IFAC Proceedings Volumes 28, no. 15 (1995): 571–74. http://dx.doi.org/10.1016/s1474-6670(17)45293-1.

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Liu, Baoding, Yingzhi Zhang, Chenyu Han, and Diyin Tang. "Generation of maintenance and troubleshooting strategies for complex equipment based on Bayesian network reinforcement learning." Scientific Insights and Discoveries Review 4 (October 14, 2024): 232–43. http://dx.doi.org/10.59782/sidr.v4i1.146.

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To solve the problem of long decision-making time and high total cost of generated strategies in traditional heuristic maintenance and troubleshooting decision-making methods, a method for complex equipment maintenance and troubleshooting strategy generation based on Bayesian network combined with reinforcement learning is proposed . In order to better utilize the knowledge of complex equipment models, Bayesian network is used to express maintenance and troubleshooting knowledge, and in order to be closer to the actual situation of complex equipment, the failure probability analyzed according

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Mobki, Hamed, Morteza Homayoun Sedighi, Aydin Azizi, and Mir Mohammad Eskandari. "DESIGNING AN EFFICIENT OBSERVER FOR THE NON-LINEAR LIPSCHITZ SYSTEM TO TROUBLESHOOT AND DETECT SECONDARY FAULTS CONSIDERING LINEARIZING THE DYNAMIC ERROR." Facta Universitatis, Series: Mechanical Engineering 20, no. 3 (2022): 677. http://dx.doi.org/10.22190/fume220528043m.

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The presence of faults in a system leads to a lower value for efficiency, accuracy and speed, and, in some cases, even a complete breakdown. Thus, early fault detection is a major factor in efficiency and productivity of the procedure. In recent decades, many research studies have been conducted on troubleshooting and secondary fault detection. The current work presents an efficient and novel observer design capable of stabilizing the residue and dynamic error for the nonlinear Lipschitz systems with faults as well as a troubleshooting analysis and determining the formation of secondary faults

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Malhotra, Keshav. "Troubleshooting in an IVF Laboratory." Fertility & Reproduction 05, no. 04 (2023): 279. http://dx.doi.org/10.1142/s2661318223740936.

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In the realm of assisted reproductive technology, troubleshooting within an in vitro fertilization (IVF) laboratory is of paramount importance to ensure successful outcomes. FMEA is a proactive methodology used to identify potential failure modes in laboratory processes, assess their possible effects, and prioritize interventions to prevent or mitigate them. In the context of IVF, FMEA aids in recognizing critical steps prone to errors, such as sample mishandling or equipment malfunctions. By quantifying the probability and severity of failures, FMEA allows laboratories to allocate resources j

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Niu, Dapeng, Chenshu Qi, Guanghai Li, Hongru Li, and Hali Pang. "Rapid Fault Diagnosis Method of Elevator System Based on Multiattribute Decision Making." Shock and Vibration 2021 (October 8, 2021): 1–9. http://dx.doi.org/10.1155/2021/9939493.

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Fault tree analysis is often used in elevator fault diagnosis because of its simplicity and reliability. However, the traditional fault tree method has the problems of low efficiency due to ignoring location change of bottom events during troubleshooting. This paper proposes a rapid diagnosis method based on multiattribute decision making to solve the problem. The fault tree of the elevator system is constructed based on expert knowledge and multisource data, and the location-related matrix is constructed according to the complex vertical structure of the elevator. Then, the attributes of bott

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Wu, Song Lin, Shi Chao Li, and Jun Zhao. "The Principle of Dynamic Diagnosis Based on Integrated Maintenance Information and its Application." Applied Mechanics and Materials 385-386 (August 2013): 1785–89. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1785.

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Based on the concept of an integrated maintenance information system and related information environment, this paper discusses the process of troubleshooting in modern maintenance in detail, and gives a model of dynamic faults diagnosis, in which a reasoning program is designed through taking advantage of information fusion and time analysis. In the end, the authors present the logic process of dynamic diagnosis through a typical example, and propose a dynamic diagnostic system based on information fusion.

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Qin, S. Joe, Yingxiang Liu, and Yining Dong. "Plant-wide troubleshooting and diagnosis using dynamic embedded latent feature analysis." Computers & Chemical Engineering 152 (September 2021): 107392. http://dx.doi.org/10.1016/j.compchemeng.2021.107392.

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Roldán-Pérez, Javier, Aurelio García-Cerrada, Juan Luis Zamora-Macho, Pedro Roncero-Sánchez, and Enrique Acha. "Troubleshooting a digital repetitive controller for a versatile dynamic voltage restorer." International Journal of Electrical Power & Energy Systems 57 (May 2014): 105–15. http://dx.doi.org/10.1016/j.ijepes.2013.11.054.

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Pan, Yicheng, Yang Zhang, Tingzhu Bi, et al. "HEAL: Performance Troubleshooting Deep inside Data Center Hosts." ACM SIGMETRICS Performance Evaluation Review 52, no. 1 (2024): 41–42. http://dx.doi.org/10.1145/3673660.3655058.

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This study demonstrates the salient facts and challenges of host failure operations in hyperscale data centers. A host incident can involve hundreds of distinct host-level metrics. The faulting mechanism inside the host connects these heterogeneous metrics through direct and indirect correlation, making it extremely difficult to sort out the propagation procedures and the root cause from these intertwined indicators. To deeply understand the failure mechanism inside the host, we develop HEAL -- a novel host metrics analysis toolkit. HEAL discovers dynamic causality in sparse heterogeneous host

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Mircea, Alina, and Karl Popp. "Troubleshooting in Studying the Behavior of Ballast Stones using Molecular Dynamic Simulation." PAMM 5, no. 1 (2005): 209–10. http://dx.doi.org/10.1002/pamm.200510082.

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Pan, Yicheng, Yang Zhang, Tingzhu Bi, et al. "HEAL: Performance Troubleshooting Deep inside Data Center Hosts." Proceedings of the ACM on Measurement and Analysis of Computing Systems 7, no. 3 (2023): 1–24. http://dx.doi.org/10.1145/3626785.

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This study demonstrates the salient facts and challenges of host failure operations in hyperscale data centers. A host incident can involve hundreds of distinct host-level metrics, covering broad aspects. The faulting mechanism inside the host connects these heterogeneous metrics through direct and indirect correlation, making it extremely difficult to sort out the propagation procedures and the root cause from these intertwined indicators. To deeply understand the failure mechanism inside the host, we develop HEAL -- a novel host metrics analysis toolkit. HEAL synergistically discovers dynami

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Oluwatosin Oladayo ARAMIDE. "Explainable AI (XAI) for Network Operations and Troubleshooting." International Journal for Research Publication and Seminar 16, no. 1 (2025): 533–54. https://doi.org/10.36676/jrps.v16.i1.286.

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With the advancement of 5G, Software-Defined Networking (SDN), and Network Function Virtualization (NFV) technics, which enable modern network infrastructures to become more and more complex and dynamic, the rule-based controller-based management systems are becoming insufficient to pinpoint the faults in real-time, to determine the root cause, and to conduct fine-grain optimization according to the needs of users. Artificial Intelligence (AI) especially Machine Learning (ML) has become an efficient means of automating the network. Nonetheless, the secrecy of most AI models simply acts as a se

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Lu, Shibao, June Wei, Haijun Bao, Yangang Xue, and Weiwei Ye. "The dynamic hydropower troubleshooting information based on EMD multi-scale feature entropy extraction." International Journal of Mobile Communications 15, no. 6 (2017): 677. http://dx.doi.org/10.1504/ijmc.2017.086882.

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Ye, Weiwei, June Wei, Haijun Bao, Yangang Xue, and Shibao Lu. "The dynamic hydropower troubleshooting information based on EMD multi-scale feature entropy extraction." International Journal of Mobile Communications 15, no. 6 (2017): 677. http://dx.doi.org/10.1504/ijmc.2017.10005657.

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HAJEK, J. "Computational fluid dynamic simulations in thermal waste treatment technology—Design, optimisation and troubleshooting." Energy 33, no. 6 (2008): 930–41. http://dx.doi.org/10.1016/j.energy.2007.11.010.

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Bury, S. J., C. K. Groot, C. Huth, and N. Hardt. "Dynamic simulation of chemical industry wastewater treatment plants." Water Science and Technology 45, no. 4-5 (2002): 355–63. http://dx.doi.org/10.2166/wst.2002.0623.

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High variability, stringent effluent permits, and often extreme operating conditions define the practice of wastewater treatment in the chemical industry. This paper reviews the benefits and challenges of applying dynamic simulation to chemical-industry wastewater treatment plants by describing case studies at full-scale wastewater treatment plants (WWTP). The applications range from process troubleshooting to optimization and control. The applications have been valuable and useful in developing a deeper understanding of the plants as integrated systems. However there still remains substantial

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Sri, Harsha Vardhan Sanne. "Solutions for Monitoring and Troubleshooting Kubernetes Applications and Infrastructure." European Journal of Advances in Engineering and Technology 10, no. 3 (2023): 53–59. https://doi.org/10.5281/zenodo.11438332.

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Kubernetes has emerged as the de facto standard for container orchestration, providing a robust platform for deploying, scaling, and managing applications. However, its dynamic and complex nature presents significant challenges in monitoring and troubleshooting both applications and infrastructure. This review paper systematically examines contemporary solutions designed to address these challenges, categorizing them based on their core functionalities and architectural approaches. Key solutions analyzed include native Kubernetes tools, third-party monitoring platforms, and innovative open-sou

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Zheng, Hai Yan, Rui Li Zhang, and Wan Chun Gao. "Research and Application of SVG in the Feeder Data Analysis System Based on Ajax." Advanced Materials Research 1044-1045 (October 2014): 1441–45. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1441.

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It researched key technology based on ajax of svg in feeder data analysis system, for the requirement of complicated circuit quick analysis and high efficiency in aviation arming ensure domain, combined with S1000D specification for interactive electronic technical manuals and data requirements of creative thinking, proposed feeder S1000D data modules and svg technology dynamic publishing model,and the application of research results, case study results show that: The design can be automatically and quickly analyze circuit through the auxiliary equipment, leads the list of inter-path, achieve

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Damanik, Hillman Akhyar, Merry Anggraeni, and Farida Ayu Avisena Nusantari. "PKM Peningkatan Uji Kompetensi Keahlian dan Network Automation untuk Meningkatkan Aspek Soft Skill dan Media Praktikum Siswa di SMKS Nusantara 1 Ciputat." Jurnal SOLMA 13, no. 3 (2024): 2597–610. https://doi.org/10.22236/solma.v13i3.16695.

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Background: Pelaksanaan Program Pengabdian kepada Masyarakat (PKM), bertujuan untuk meningkatkan kompetensi siswa SMK TKJ Nusantara 1 Ciputat dalam aspek ketrampilan dan softskill dalam menghadapi Uji Kompetensi Keahlian (UKK) dan Network Automation melalui serangkaian kegiatan pelatihan dan praktikum jaringan yang terstruktur. Pelaksanaan kegiatan PKM ini menggunakan metode kemitraan dengan dengan SMK Nusantara 1 Ciputat untuk peserta didik jurusan Teknik Komputer dan Jaringan (TKJ) kelas XI dan XII berjumlah 25 orang. Metode: Pelatihan teori serta implementasi praktikum intensif yang berfoku

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Liu, Jie, and Wei Wang. "Influence of different testing positions of sensors on the dynamic response of load sensing hydraulic systems." Journal of Physics: Conference Series 2457, no. 1 (2023): 012016. http://dx.doi.org/10.1088/1742-6596/2457/1/012016.

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Abstract This paper first introduced the load sensing hydraulic system and elaborated on its load feedback, pressure cut-off, and constant power control principles. Moreover, based on the response hysteresis of the load sensing hydraulic system in the actual commissioning of the project, this paper proposed the possible influence of the sensor on the response of the hydraulic system through troubleshooting analysis. Third, experiments were conducted to obtain the system dynamic response curves given different sensor positions and to prove the hypothesis. Meanwhile, the influence mechanism and

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Borba Evangelista, Gustavo, Guilherme Conceição Rocha, and Wlamir Olivares Loesch Vianna. "Aircraft Troubleshooting Optimization Using Case-based Reasoning and Decision Analysis." Annual Conference of the PHM Society 12, no. 1 (2020): 8. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1170.

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   The Fault Isolation Manual (FIM) can be seen as a specialist system that carries the expectations and expertise of engineers and technical team concerning the aircraft components and systems operation. It is basically a manual that supports the maintainers regarding the actions to perform in determined situations to properly isolate a fault. Although the FIM is the most common tool that assists maintainer on the troubleshooting process today, it does not adequately consider field experience and it does not explore situations where the maintenance operator has limited resou

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DAMANIK, Hillman Akhyar, Merry ANGGRAENI, and Farida Ayu Avisena NUSANTARI. "PKM IMPROVEMENT COMPETENCY CURRICULUM UJI KOMPETENSI KEAHLIAN (UKK) AND NETWORK AUTOMATION TO IMPROVE SOFT SKILL ASPECTS AT SMKS NUSANTARA." ICCD 6, no. 1 (2024): 193–200. http://dx.doi.org/10.33068/iccd.v6i1.760.

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The implementation of Program Pengabdian kepada Masyarakat (PKM), to improve the competence of SMK TKJ Nusantara 1 Ciputat students in terms of skills and soft skills in facing the Uji Kompetensi Keahlian (UKK) through a series of structured network training and practicum activities. The methods used include theoretical training and intensive practicum implementation that focuses on 1) Network Security Design, Installation and Configuration of Dynamic Routing 2) Wired and Wireless Network Design with VLAN and Routing 3) Troubleshooting Network Services on Client Server Networks 4) Troubleshoot

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Reardon, Peter M., Melody J. Bishop, Christopher J. Yarnell, et al. "Troubleshooting Severe Airflow Obstruction With a Pressure-Limited Transport Ventilator: Lessons From Two Cases." Critical Care Explorations 7, no. 7 (2025): e1285. https://doi.org/10.1097/cce.0000000000001285.

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Presentations of status asthmaticus or severe chronic obstructive pulmonary disease exacerbation can present a formidable challenge to effective invasive ventilation. The optimal ventilation strategy targets low respiratory rates and high inspiratory flow rates to prolong the expiratory time and minimize dynamic hyperinflation. Although the resulting high peak pressures can usually be accommodated by ICU ventilators, some ventilators have a relatively limited peak pressure capacity as determined by the turbine. Here, we describe two cases of severe airflow obstruction where the desired ventila

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Majeed, Saqib. "Energy Aware Drone Enabled Base Stations Deployment in Flying Adhoc Networks." Quaid-e-Awam University Research Journal of Engineering, Science & Technology 20, no. 2 (2022): 39–47. http://dx.doi.org/10.52584/qrj.2002.06.

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The demand for Wireless Networks has increased rapidly for downloading and uploading all types of data, which is due to the inefficiency and high cost of infrastructure based cellular Networks. Unmanned Aerial Vehicle (UAVs) is the reliable solution for improving efficiency, latency redundancy, business, and troubleshooting problems on a high scale. Although, the deployment of UAVs to meet user demand in any environment or region is quite thought-provoking. This deployment not merely provides the only the coverage area, but also provides the capacity balancing and accommodation of extremely po

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DAVE, RAKESH, SUBHASHINI GANAPATHY, MARY FENDLEY, and S. NARAYANAN. "A KNOWLEDGE-BASED SYSTEM TO MODEL HUMAN SUPERVISORY CONTROL IN DYNAMIC PLANNING." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, supp02 (2004): 1–14. http://dx.doi.org/10.1142/s0218488504003004.

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With the increases in the levels of automation and computerization, supervisory control systems are becoming increasingly common in commercial and military applications. A supervisory control system consists of one or more human operators interacting with highly automated components such as those seen in satellite ground control, flexible manufacturing systems, or nuclear power plants. Humans typically perform cognitively intense tasks such as monitoring, planning, real-time control, and troubleshooting, and are ultimately responsible for the safe and efficient operation of the overall system.

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ANUP, KALYANASHETTI, TUNGAL VINOD, and SHINDE SURAJ. "DYNAMIC ANALYSIS OF ROUTER LINKS BY THE CREATION OF TRIAL PACKETS." JournalNX - A Multidisciplinary Peer Reviewed Journal NITET2017 (March 16, 2017): 1–4. https://doi.org/10.5281/zenodo.1460348.

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Systems are getting bigger and even more unpredictable, yet administrators depend on simple tools like trace route, ping to troubleshoot the problems. We propose a computerized and efficient methodology for testing and investigating systems called generation of the test packets. This system peruses switch designs and produces a most efficient yet effective model. The model is used to make a base plan of test bundles to (unimportantly) hone every association in the framework or (maximally) hone every rule in the framework. https://journalnx.com/journal-article/20150199

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Wu, Fayong, Jie Hong, Xueqi Chen, and Yanhong Ma. "Analysis of High-Speed Rotor Vibration Failure Due to Sudden Angular Deformation of Bolt Joints." Symmetry 15, no. 10 (2023): 1937. http://dx.doi.org/10.3390/sym15101937.

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As the efficiency of advanced aero engines improves, the operational speed of their rotors increases. This heightened operational speed makes the rotor dynamics highly sensitive to changes in the rotor’s mass asymmetry state, or unbalance state. During the use of a dual-spool turbofan engine, when its supercritical high-pressure rotor (HPR) exceeds a certain operational speed, the rotor’s vibration spikes and continues to increase with the operational speed until it drops sharply near the maximum operational speed. Analysis of the bolt joints in the faulty rotor reveals various phenomena such

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Wagner, J., and R. Shoureshi. "A Failure Isolation Strategy for Thermofluid System Diagnostics." Journal of Engineering for Industry 115, no. 4 (1993): 459–65. http://dx.doi.org/10.1115/1.2901790.

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The application of microprocessor-based diagnostic strategies to industrial processes provides improved system reliability while reducing maintenance costs. The prompt detection and classification of system anomalies enables reduced troubleshooting by technicians and minimizes the misclassification of system degradations. In this paper, an experimental-based multiple hypothesis failure isolation scheme for small-scale thermofluid systems is presented. The proposed classification strategy combines dynamic modeling, control theory, multivariate statistics, and pattern recognition to develop a me

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Anishkumar, Sargunakumar. "Integrating Logstash and Kibana for Full-Stack Monitoring Solutions." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 1 (2020): 1–7. https://doi.org/10.5281/zenodo.15086579.

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In today’s dynamic application ecosystems, full-stack monitoring is essential for ensuring performance, reliability, and rapid issue resolution. Traditional monitoring methods often provide fragmented insights, leaving gaps in visibility. This paper explores the integration of Logstash and Kibana — key components of the Elastic Stack — to build a comprehensive, scalable, and resilient monitoring solution. The architecture, implementation strategies, and real-world benefits are analyzed, alongside challenges and best practices. By combining Logstash's data processing capabilit

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Eberhardt, M., M. Lehner, A. Ascher, M. Allwang, and E. M. Biebl. "An active UHF RFID localization system for fawn saving." Advances in Radio Science 13 (November 3, 2015): 87–94. http://dx.doi.org/10.5194/ars-13-87-2015.

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Abstract. We present a localization concept for active UHF RFID transponders which enables mowing machine drivers to detect and localize marked fawns. The whole system design and experimental results with transponders located near the ground in random orientations in a meadow area are shown. The communication flow between reader and transponders is realized as a dynamic master-slave concept. Multiple marked fawns will be localized by processing detected transponders sequentially. With an eight-channel-receiver with integrated calibration method one can estimate the direction-of-arrival by meas

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Amar, Chaudhari, Asthana Amrita, Kaluskar Atharva, et al. "VIVoNet: Visually-Represented, Intent-Based, Voice-Assisted Networking." International Journal of Computer Networks & Communications (IJCNC) 11, no. 2 (2019): 1–13. https://doi.org/10.5281/zenodo.2641962.

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Networks have become considerably large, complex and dynamic. The configuration, operation, monitoring, and troubleshooting of networks is a cumbersome and time-consuming task for the network administrators as they must deal with the physical layer, underlying protocols, addressing systems, control rules, and many other low-level details. This research paper proposes an Intent-based networking system (IBNS) coupled with voice-assistance that can abstract the underlying network infrastructure and allow administrators to alter its behavior by expressing intents via voice commands. The system als

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Caleb, Derek Asir Muthurajan. "AI-Powered Fibre Channel Congestion Detection and Resolution: Transforming SAN Network Resilience Through Intelligent Automation." European Journal of Computer Science and Information Technology 13, no. 22 (2025): 114–25. https://doi.org/10.37745/ejcsit.2013/vol13n22114125.

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Fibre Channel Storage Area Networks (SANs) have long been plagued by congestion issues that degrade performance and disrupt critical business operations. This article explores the transformative role of artificial intelligence in revolutionizing congestion detection and resolution within FC networks. By leveraging advanced machine learning algorithms and neural network models, AI systems can now automatically correlate seemingly disparate network anomalies, accurately identify root causes of credit stalls, and implement autonomous remediation strategies without human intervention. The integrat

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Nouby M. Ghazaly, Mahrousa M. Abdeltwab,. "A Review on Engine Fault Diagnosis through Vibration Analysis." International Journal on Recent Technologies in Mechanical and Electrical Engineering 9, no. 2 (2022): 01–06. http://dx.doi.org/10.17762/ijrmee.v9i2.364.

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Vehicles engine failure is disapproved problem for drivers, and repair of that needs experience to identify fault and troubleshooting. The fault diagnosis in a machine is significant for fending off dangerous damage. The vibration signals of a machine always carry the dynamic information of the machine. These vibration signals of internal combustion engines are extremely helpful for the feature extraction and detect the fault diagnosis. The former sensing of defects by supervising can keep farther harm to the internal combustion engine and deflect further causalities. The faults lead to reduci

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Yin, Chengfeng, Qiang Zheng, and Xiaoqing Shen. "Design of Real Network Hardware In-Loop Simulation Test Platform for Internet of Vehicles Testing." Wireless Communications and Mobile Computing 2023 (January 5, 2023): 1–12. http://dx.doi.org/10.1155/2023/1895496.

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Based on the function and performance testing requirements of Internet of Vehicles, a design scheme for automatic simulation test and verification platform for the Internet of Vehicles based on cellular networks and real network in-loop is proposed. First, the overall structure of the simulation test platform and the specific function of each component are presented. The main and functional components of the real cellular network simulation subsystem are then discussed. Finally, two typical application test scenarios are designed and presented; namely, vehicle remote-startup delay test based o

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Revanth Reddy Rondla. "Innovation in cloud platform integration with intelligent automation." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 374–80. https://doi.org/10.30574/wjaets.2025.15.1.0207.

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This article examines the revolutionary integration of artificial intelligence and machine learning technologies with cloud platforms, creating intelligent automation systems that transcend traditional approaches. The convergence of these technologies enables cognitive capabilities that learn, adapt, and optimize processes with minimal human intervention across enterprise cloud environments. By incorporating dynamic resource allocation, workload prediction, and comprehensive infrastructure analysis, these systems deliver substantial improvements in operational efficiency while reducing managem

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Gębura, Andrzej. "Investigation Of Tribologic Processes in Bearing Nodes with the Use of the Fam-C And Fdm-A Methods – The Model With Elevated Passive Resistance." Research Works of Air Force Institute of Technology 35, no. 1 (2014): 115–25. http://dx.doi.org/10.1515/afit-2015-0008.

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Abstract The paper discloses selected results of application of the FAM-C (a.c. generator) and FDM-A (d.c. generator) methods for comprehensive troubleshooting of bearing nodes in single-spool turbojet engines. A.c. generators provide information about slow-changing processes and, consequently, that information makes it possible to monitor radial and axial clearance of bearings as well as misalignment of shafts. On the other hand, the information transmitted by d.c. generators refers to fast-changing processes and is suitable to monitor dynamic properties of antifriction bearings: variations i

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Mohanty, Rajinikanth. "Medication Recommendation System Using AI." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 704–8. http://dx.doi.org/10.22214/ijraset.2024.61642.

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Abstract: In an era marked by the convergence of personal and technical facets of life, the need for a versatile and intelligent companion becomes increasingly apparent. This project introduces the development of a novel Chatbot, aptly named the "Personal and Technical Companion," designed to seamlessly integrate into users' lives by offering personalized support and technical assistance. The Chatbot employs state-of-the-art Natural Language Processing (NLP) techniques to engage users in natural language conversations, providing a unique blend of personal and technical guidance. The system arc

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Han, Guang, Shuangcheng Lv, Zhigang Tao, Xiaoyun Sun, and Bowen Du. "Evaluation of Bolt Corrosion Degree Based on Non-Destructive Testing and Neural Network." Applied Sciences 14, no. 12 (2024): 5069. http://dx.doi.org/10.3390/app14125069.

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Anchor bolt corrosion is a complex and dynamic system, and the prediction and identification of its corrosion degree are of significant importance for engineering safety. Currently, non-destructive testing using ultrasonic guided waves can be employed for its detection. Building upon the analysis of anchor bolt corrosion mechanisms, this paper proposes a method for evaluating the corrosion degree of anchor bolts based on multi-scale convolutional neural networks (MS-CNNs) that address the multi-mode propagation and dispersion effects of ultrasonic guided wave signals in non-destructive testing

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Nagarajan. "Advanced Visualization Techniques for Large-Scale Network Management System." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 6 (2021): 1–4. https://doi.org/10.5281/zenodo.15086551.

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As network infrastructures grow in size and complexity, effective visualization techniques become crucial for efficient monitoring, optimization, and troubleshooting. Large-scale networks, particularly those managed by service providers and enterprises, require real-time, high-performance visualization tools to analyze intricate topologies and traffic patterns. Traditional 2D visualization methods often fall short when dealing with dynamic and multilayered network environments, leading to a shift towards more advanced graph-based and 3D visualization techniques.This research explores graph-bas

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Song, Peijie, Xiaojuan Li, Jianjun Cui, Kai Chen, and Yandong Chu. "The Impact of the Damping Coefficient on the Dynamic Stability of the TM-AFM Microcantilever Beam System." Applied Sciences 14, no. 7 (2024): 2910. http://dx.doi.org/10.3390/app14072910.

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The tapping-mode atomic force microscope (TM-AFM) is widely used today; however, improper matching between the operating medium and the sampling time may lead to inaccurate measurement results. The relationship between the damping coefficient and the steady state of the TM-AFM microcantilever is investigated in this paper using multiple stability theory. Firstly, the effects of changes in dimensionless linear damping coefficients and dimensionless piezoelectric film damping coefficients on the motion stability of the system are examined using bifurcation diagrams, phase trajectories, and domai

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Liu, Kun, Xiping Song, and Xiangyu Li. "Fault Reason and Diagnosis of Electronic Control Automatic Transmission of Modern." Frontiers of Mechatronical Engineering 1, no. 1 (2018): 32. http://dx.doi.org/10.18282/fme.v1i1.599.

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<p>The mechanical transmission of automobile is very efficient, reliable and structurally simple, but is easy to wear the parts prematurely because of its dynamic load. In the case of complex external conditions, the frequent operation of the clutch, shift lever and throttle, increasing the burden on the driver is not conducive to safe driving. In recent decades, automatic transmission has been an unprecedented development; electronic control automatic transmission has become the development direction of modern car transmission. But the electronic control automatic transmission structure

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Amrutham, Naresh Kumar. "Enhancing Kubernetes Observability: A Synthetic Testing Approach for Improved Impact Analysis." International Journal for Research in Applied Science and Engineering Technology 12, no. 10 (2024): 468–75. http://dx.doi.org/10.22214/ijraset.2024.64556.

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Kubernetes has become the cornerstone for deploying and managing containerized applications. Its dynamic and distributed nature, while offering scalability and resilience, introduces significant complexities in observability, monitoring, and impact analysis. Traditional monitoring solutions often fall short in providing visibility into the functionalities affected by interruptions in the Kubernetes platform, leading to prolonged downtime and impact analysis. This paper investigates the challenges associated with achieving effective observability for Kubernetes environments due to their distrib

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Mbodila, Munienge. "Towards Fault Tolerance Management Systems in SDN." International Conference on Intelligent and Innovative Computing Applications 2022 (December 31, 2022): 302–14. http://dx.doi.org/10.59200/iconic.2022.033.

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The issue of network operation, monitoring, and availability in traditional network environments has been one of the major challenges to addressing network administrators' struggles to deal with. The capacity for the network to comprehend the status and the performance of every node has been one of the priorities amongst others for network administrators to protect during troubleshooting in their network. However, the growing use of software-defined networks (SDN) technologies, as well as virtualization, pave the way to the solution of network operation, monitoring, and availability of hardwar

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Natta, Prasanna Kumar. "AI-Powered Cloud Orchestration: Automating Multi-Cloud & Hybrid Cloud Workloads." European Journal of Computer Science and Information Technology 13, no. 8 (2025): 138–47. https://doi.org/10.37745/ejcsit.2013/vol13n8138147.

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AI-powered cloud orchestration revolutionizes how enterprises manage and optimize their multi-cloud and hybrid cloud environments. Integrating artificial intelligence into cloud management addresses complexity, manual intervention, and reactive problem-solving challenges that plague traditional orchestration methods. By implementing intelligent algorithms for resource allocation, workload balancing, predictive scaling, security enhancement, and self-healing capabilities, organizations can transform their cloud operations from manually-defined workflows to autonomous systems capable of continuo

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Naga Sai Bandhavi Sakhamuri. "AIOps-driven adaptive observability framework for cloud-native applications." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 1774–82. https://doi.org/10.30574/wjaets.2025.15.2.0724.

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The emergence of cloud-native architectures has fundamentally transformed how applications are developed and deployed, bringing unprecedented complexity to monitoring and troubleshooting processes. Traditional observability approaches that rely on static thresholds and manual correlation prove inadequate in dynamic environments where microservices communicate through various protocols, creating exponential interaction paths. This document introduces an AIOps-driven Adaptive Observability Framework specifically designed for cloud-native environments, addressing critical challenges including dis

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