Identification of Water Hammering for Centrifugal Pump Drive Systems

Abstract

Water hammering is a significant problem in pumping systems. It damages the pipelines of the pump drastically and needs to identify with an intelligent method. Various conventional methods such as the method of characteristics and wave attenuation methods are available to identify water hammering problems, and the predictive control method is one of the finest and time-saving methods that can identify the anomalies in the system at an early stage such that the device can be saved from total damage and reduce energy loss. In this research, a machine learning (ML) algorithm has used for a predictive control method for the identification of water hammering problems in a pumping system with the help of simulations and experimental-based works. A linear regression algorithm has been used in this work to predict water hammering problems. The efficiency of the algorithm is almost 90% compared to other ML algorithms. Through a Vib Sensor app-based device at different pressures and flow rates, the velocity of the pumping system, a fluctuation between healthy and faulty conditions, and acceleration value at different times have been collected for experimental analysis. A fault created to analyze a water hammering problem in a pumping system by the sudden closing and opening of the valve. When the valve suddenly closed, the kinetic energy in the system changed to elastic resilience, which created a series of positive and negative wave vibrations in the pipe. The present work concentrates on the water hammering problem of centrifugal pumping AC drive systems. The problem is mainly a pressure surge that occurs in the fluid, due to sudden or forced stops of valves or changes in the direction and momentum of the fluid. Various experimental results based on ML tool and fast Fourier transformation (FFT) analysis are obtained with a Vib Sensor testbed set-up to prove that linear regression analysis is the less time-consuming algorithm for fault detection, irrespective of data size.

Improving Reliability and Energy Efficiency of Three Parallel Pumps by Selecting Trade-Off Operating Points

“…), the physical properties of the pumped liquid (density, viscosity, etc.) and the difference in heights of the basins A and B, a curve of the hydraulic system is constructed, which is described by the Equation (1) [28]:…”

“…In addition, due to the unstable shape of the Q-H characteristic, the latter intersects the hydraulic system curve in two points which leads to the occurrence of a surge. In this case, the pump operates alternately in different operating points, the whole system is unstable, the loading on the pump changes and hydraulic shocks occur [28,29].…”

Life Cycle Cost Analysis of Pumping System through Machine Learning and Hidden Markov Model

“…Before the wastewater effluent is dumped into the environment, a sewer network gathers used water for treatment at a centralised wastewater treatment plant. Centralised systems refer to the traditional form of water delivery where one centralised treatment plant treats and distributes potable water to a large The following consecutive sections will highlight the importance of life cycle cost, the application of the hidden Markov model [21,22] for LCC prediction, the application of HMM and machine learning analysis, the proposed method, the results and analysis, and the conclusion.…”

“…Figure 1 shows the various parts of the costs, which are the combinations of the LCC. The following consecutive sections will highlight the importance of life cycle cost, the application of the hidden Markov model [21,22] for LCC prediction, the application of HMM and machine learning analysis, the proposed method, the results and analysis, and the conclusion.…”

Sensor Fault Detection and Identification in an Electro-pump System using Extended Kalman Filter

“…Pumps are important part in a wide range of mechanical operations, such as power plants, the chemical industry, air conditioning, cooling and heating systems, and more. They are commonly used for a variety of industries and used for fluid delivery [1]. Most of them are driven by induction motors, which call the whole system an electro-pump system.…”