Failure Analysis Of Centrifugal Pump By Using Computational Approach

Abstract

Centrifugal pumps play a crucial role in numerous industrial processes and are extensively utilized. The water supply system encompasses wastewater management, heating, and cooling. To date, there have been several criticisms regarding vehicles. Fault diagnosis based on induction engines is utilized in conjunction with the centrifugal pumps that have been received. There has been relatively little focus on this area. This paper aims to summarize and evaluate recent research and advancements. It monitors pump status through automated learning and defect diagnosis. The paper begins with a brief explanation of pump operation, including common pump malfunctions and fundamental engine principles. Current Signature Analysis Methods are then discussed in detail, followed by a comprehensive description of various vehicles. A training-based approach is presented, detailing the types of defects identified, experimental specifics, and the accuracy of transmission. The performance of different methodologies is systematically displayed in a single table. In conclusion, the author addresses practical considerations and challenges associated with data collection, storage, and real-world implementation.