Nabanita Dutta¹, Palanisamy Kaliannan^1,*, Paramasivam Shanmugam²

Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2997-3020, 2023, DOI:10.32604/iasc.2023.028704

Abstract Vibration failure in the pumping system is a significant issue for industries that rely on the pump as a critical device which requires regular maintenance. To save energy and money, a new automated system must be developed that can detect anomalies at an early stage. This paper presents a case study of a machine learning (ML)-based computational technique for automatic fault detection in a cascade pumping system based on variable frequency drive (VFD). Since the intensity of the vibrational effect depends on which axis has the most significant effect, a three-axis accelerometer is used to measure it in the pumping… More >

Van-Phuong Ta^*, Dinh-Nhon Truong, Nguyen-Thanh Nhan

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1605-1615, 2022, DOI:10.32604/iasc.2022.022374

Abstract Water Distribution System (WDS) is one of the important phases of the Water Treatment Plant (WTP) and plays a crucial role in plant, animal, and human life. The WDS aims not only to supply a continuous, stable water amount but also to reduce energy consumption as little as possible during operation. To keep the continuous, stable water amount, the water pressure in the pipe network of the WDS must be maintained at desired set points under the effecting of uncertainties, disturbances, and noises. For saving the energy requirement, a Variable Frequency Driver (VFD) was utilized to control the speed of… More >