Projects for Predictive Maintenance and Operation between COPET G&amp;T and Gnarus Institute

Silva, Clailton Leopoldo da; Martins, Rafael; Xavier, Carlos; Castioni, Júlio Cezar Oliveira; Lambert‐Torres, Germano; Barbosa, João Felipe; Zacarias, Tiago Goncalves; Marcelo, Diogo Gonzaga; Assuncao, Frederico de Oliveira

doi:10.1590/1678-4324-75years-2021210133

Cited by 2 publications

(2 citation statements)

References 40 publications

(40 reference statements)

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“…The subsequent steps involve advanced signal processing for fault detection, machine learning for fault diagnosis, and predictive modeling to forecast potential issues. The flowchart emphasizes real-time health monitoring through remote communication and IoT integration, with cloud platforms enabling collaborative diagnostics and comprehensive data analysis [129][130][131].…”

Section: Proactive Maintenance Strategies and Health Managementmentioning

confidence: 99%

State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions

Akbar,

Vaimann,

Asad

et al. 2023

Energies

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Electrical machines are prone to various faults and require constant monitoring to ensure safe and dependable functioning. A potential fault in electrical machinery results in unscheduled downtime, necessitating the prompt assessment of any abnormal circumstances in rotating electrical machines. This paper provides an in-depth analysis as well as the most recent trends in the application of condition monitoring and fault detection techniques in the disciplines of electrical machinery. It first investigates the evolution of traditional monitoring techniques, followed by signal-based techniques such as spectrum, vibration, and temperature analysis, and the most recent trends in its signal processing techniques for assessing faults. Then, it investigates and details the implementation and evolution of modern approaches that employ intelligence-based techniques such as neural networks and support vector machines. All these applicable and state-of-art techniques in condition monitoring and fault diagnosis aid in predictive maintenance and identification and have the highly reliable operation of a motor drive system. Furthermore, this paper focuses on the possible transformational impact of electrical machine condition monitoring by thoroughly analyzing each of the monitoring techniques, their corresponding pros and cons, their approaches, and their applicability. It offers strong and useful insights into proactive maintenance measures, improved operating efficiency, and specific recommendations for future applications in the field of diagnostics.

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Section: Proactive Maintenance Strategies and Health Managementmentioning

confidence: 99%

State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions

Akbar,

Vaimann,

Asad

et al. 2023

Energies

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“…Since the circuits are confined in a sealed compartment filled with SF6 gas, several steps must be taken to define the compartment to be repaired, including removing the SF6 gas, opening the compartment, repairing the fault, closing the compartment, refilling the SF6 gas, and conducting tightness tests. These procedures are time-consuming, and the tightness tests may take longer than the actual repair of the fault [9].…”

Section: Introductionmentioning

confidence: 99%

Traveling Wave-Based Fault Location for Gas Insulated Substations

Marcelo,

Silva,

Martins

et al. 2024

Braz. arch. biol. technol.

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With the growing demand for solutions to prevent and resolve faults in gas-insulated substations that affect the operation of the electrical system, a fault simulation laboratory for gas-insulated substations was developed to develop solutions for monitoring and locating these faults. The laboratory is composed of instruments for a fault location system based on traveling wave theory. The laboratory also has computational programs for fault simulation control and signal acquisition, in addition to having tools to analyze the data. The results were obtained through tests carried out that confirmed the laboratory's ability to simulate the operation of faults in gas-insulated substations, which allowed demonstrating the capacity of the fault location system using the theory of traveling waves.

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Projects for Predictive Maintenance and Operation between COPET G&T and Gnarus Institute

Cited by 2 publications

References 40 publications

State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions

State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions

Traveling Wave-Based Fault Location for Gas Insulated Substations

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