Designing Health Monitoring System for Centrifugal Pump Using Artificial Intelligence Approach: A Review

Abstract

Machines have helped factories run smoothly and reliably. People now use Artificial intelligence (AI) to watch equipment like pumps. This paper looks at how AI helps check pumps called centrifugal pumps. The AI system aims to fix pumps before problems happen. It finds faults early to reduce downtime. The paper reviews different AI methods. These include machine learning, neural networks, deep learning models, and sensor data from centrifugal pumps. Key things explored are the essential features for checking the health, how models learn, and linking real-time monitoring. The paper also discusses the challenges and benefits of using AI for pump health monitoring. Examples are data quality, understanding results, and using AI for many pumps. Bringing together what researchers found provides valuable knowledge. It helps engineers and experts design robust AI systems to monitor centrifugal pump health. The ultimate goal is to contribute to more dependable, efficient, and affordable industrial processes through seamless AI use in pump maintenance.