Online Monitoring System for Fault Diagnostics of High-Pressure Piston Diaphragm Pump Based on Acoustic Emission

Abstract

The high-pressure piston diaphragm is the croe of slurry pipeline implementing agencies ,need to focus on monitoring and maintenance. Because of its working conditions is extremely complex, the common means of detection can't get the fault information. Based on the acoustic emission technique, sound signals, indirect monitoring of diaphragm pumps.

This paper presents an on-line monitoring idea, which is a fault diagnosis of the high- pressure piston diaphragm pump based on acoustic emission. It is technically feasible, and has the considerable propagableness.

1 Introduction

Dahongshan pipeline is the present domestic the longest, control technology, the most complicated terrain of iron concentrate pipeline. It’s from the Dahongshan mining area to the KunSteel plant needs across the mountains, large U-shaped terrain, through the tunnels and pipelines length is 171km;the slurry was sent to the height difference is 1520m, which is the largest in the international arena.

Thus the slurry transportation pressure has reached the highest in the 24.44Mpa in the international. All these require technology and management of the pipeline transportation to achieve new and higher requirements. According to the characteristics of the Dahongshan iron concentrate pipeline, in order to ensure the slurry pipeline safety, smooth, economy and environmental protection runs to the new faulty equipment management information system has become particularly important.

According to the characteristics of the Dahongshan iron concentrate pipeline, in order to ensure the slurry pipeline safety, smooth, economical, environmentally friendly to run, which research the new faulty equipment management information system has become particularly important.

High pressure piston diaphragm pump is the driving force of slurry transportation, timely diagnosis fault is very important; in order to improve the reliability of its use, reduce downtime brings direct and indirect economic loss. At present, in China the solid materials in the pipeline industry is still in its infancy, and fault diagnosis of whose power source - the high-pressure piston diaphragm pumps is still in the exploratory stage.

Among them, the focus of the piston pump fault detection is valves and diaphragm, of whose tightness is an important performance indexes, system security and economy of the equipment has a very large influence. Leakage of the valve and diaphragm are often the major accident risks, but also a waste of resources and environmental pollution. Enterprises in the past common practice is regularly big overhaul, each valve diaphragm demolition, repair, due to lack of specificity, this approach is not scientific.

According to statistics, in fact, only less than 50% of the valves and diaphragm need to be demolished repairs would have resulted in a waste of human, financial and material resources in the demolition of the repair process may cause some artificial damage. Therefore, to carry out research in this area which health monitoring and fault diagnosis of the high-pressure piston diaphragm pump has important theoretical and practical significance.

This paper using acoustic emission technique for fault detection of the piston pump, acoustic emission technology in the online detection of the piston pump main advantages: no effect of the valve and diaphragm integrity without dismantling ,the layout of the high sensitivity of the sensor in the valve body external, determine valve diaphragm for leaks; detection, does not affect the normal production; the results intuitive, direct quantitative measure valve leakage; close to not ask for much of the check valves and diaphragm can be used for difficult or not detected close to the environment, such as the environment of the high and low temperature, nuclear radiation, flammable, explosive or toxic, etc.; to ensure the safe operation of equipment, reducing environmental pollution and reduce the cost of inspection and maintenance.

References:
1. Wu, J., Wang, H., Fan, Y., Wang, X.: Intelligent Plant Design of Complex Landform Long Distance Pipeline Transport of Iron concentrate. Applied Mechanics and Materials 48, 632– 636 (2011)
2. Zhenyu, J., Wu, J.: Design of Pipeline Displacement Detection System based on MEMS accelerometer. Sensor and Micro System 31(1), 140–142 (2012)
3. Pu, G., Wu, J., An, J., et al.: The Design and Application of the Ore Pulp Water Treatment in Pipeline Transport of Refined Iron Ore. In: The 3rd International Symposium on Knowledge Acquisition and Modeling, pp. 192–195 (2010)
4. An, J., Wu, J., Pu, G., et al.: A Kind of Pressure Detection Method in Long Distance Ore Slurry Pipeline. In: The 3rd International Symposium on Knowledge Acquisition and Modeling, pp. 196–198 (2010)

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