Holographic Spectrum in the Remote Rotating Machinery Fault Diagnosis

2011 ◽  
Vol 130-134 ◽  
pp. 2836-2840 ◽  
Author(s):  
Wu Chu Tang ◽  
Zhi Hui Shi ◽  
Da Li Kang

In this paper, a remote real-time online rotating machinery monitoring system, which was developed and tested in the Industrial application, is presented including its remote monitoring sub-system, fault diagnosis sub-system. First, the system architecture is introduced. Next, a web-based remote monitoring system is designed, which allows researches and engineers to remotely monitor the health of the machine from any remote geographic location through the Internet. Finally, the holographic spectrum technology in this system is discussed as well for the purpose of providing accurate and reliable diagnosis of the machine states and accident prevention.

2014 ◽  
Vol 530-531 ◽  
pp. 301-305
Author(s):  
Huan Huan Nie ◽  
Zhen Lu Wu ◽  
Guo Yan Yu

The frame structure of monitoring system is introduced and the network structure of monitoring system is analyzed in this paper. Fault diagnosis expert system is put forward and the fault inference rules are elaborated according to the fault of natural gas compressor of a company. The significance of the system is summarized in the end.


Author(s):  
Zhiyao Fan ◽  
Tianhong Pan ◽  
Li Ma

In order to increase the management efficiency and decrease the maintenance costs in the traditional dust monitoring system, a novel real-time remote monitoring system using the Internet of Things and cloud server is proposed in this paper. The system includes several sensor nodes, a sink node and Cloud Server. The high-precision dust probe, temperature and humidity sensors, water flow sensors and hydrogen transmitters are integrated together into a sensor node to access the metal polished environmental information. Then, the collected information is transmitted to sink-node using the 2.4G wireless network. The sink-node uploads data to the Cloud Server through the 4G network and TCP Socket. Based on the Browser/Server (B/S) model, a remote monitoring system is developed by using Tencent Cloud Server, C# language, and SQL database. As a result, the on-site metal polishing environmental information is obtained via the App and Web page.


2003 ◽  
Vol 26 (5) ◽  
pp. 406-410 ◽  
Author(s):  
J.W. Park ◽  
J. Choi ◽  
J.J. Lee ◽  
K. Nam ◽  
J. Chung ◽  
...  

AnyHeart is a single-piece, implantable biventricular assist device. This electromechanical BVAD has a moving-actuator mechanism. To monitor the status of AnyHeart from anywhere at any time, a portable personal digital assistant (PDA) monitor and web-based remote monitoring system were developed. The PDA local monitoring system has replaced bulky personal computer monitoring systems. The web-based remote monitoring system has several functions such as data collecting, storing, and posting through the internet. Basically, interventricular pressure (IVP) is a parameter indicating the filling level of the blood chambers of AnyHeart. The pump output can be estimated using IVP, which is acquired noninvasively from AnyHeart. With the proposed method, we can estimate the pump output with a small margin of error.


2014 ◽  
Vol 912-914 ◽  
pp. 1513-1516
Author(s):  
Jun Hong Yang

In combination with the practical application of heat pump units, designed a heat pump PLC remote monitoring system based on SMS communication with GSM. The system can be monitored through the heat pump running, reduce equipment unsupervised time, to provide users with effective operational management and maintenance; While also providing an effective means of operating data and the real-time observation of optimizing the fault diagnosis of the pump and so on.


Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6892
Author(s):  
Mohamed Benghanem ◽  
Adel Mellit ◽  
Mohammed Emad ◽  
Abdulaziz Aljohani

In this work, a smart solar still prototype for water desalination is designed. It consists of a basic solar still, a solar preheater and a remote monitoring system based on the Internet of Things (IoT) technique. The monitoring system is developed and integrated into the hybrid solar still in order to control its evolution online, as well the quality of the freshwater provided by checking measured parameters such as pH. Thanks to the IoT technique, parameters collected by the monitoring system (e.g., air temperatures, relative humidity, etc.) are uploaded to the cloud for online remote monitoring. The users are notified by an SMS about the status of the system (e.g., water level in the basin, water in the tank, etc.), using an GSM module. The whole system, including the preheater, water pump, valve, sensors and an electronic board, is powered by a photovoltaic module of 75 Wp. The results showed that by adding a solar preheater system, the evaporation process is accelerated and, consequently, the daily yield is improved and reaches the value of 12.165 L/m2/day. The saline concentration of the tested ground water is 3.9 g/Kg (0.39%), and, after desalination, the salinity is 0.1 g/Kg (0.01%).


ASAIO Journal ◽  
2000 ◽  
Vol 46 (2) ◽  
pp. 199 ◽  
Author(s):  
Jinhan Chung ◽  
Jihoon Lee ◽  
Yungho Jo ◽  
ByoungGoo Min

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