Online Dynamic Signal Analysis


MDT Q2 makes use of virtual instrument in developing the data acquisition and control application to online monitor and analyse the dynamic signals. With the combination of virtual instrument software package and suitable signal conditioning device, a real time monitoring system can be developed. There are three techniques to remotely control the online monitoring system which has been developed in virtual instrument. All these approaches look at the advantage of using Internet as the basis for the implementation of effective online condition monitoring system. One of the advantages for using this system is that no real time signals will be lost as all the data are saved in a database. In addition to that the data can be further processed and accessed from that data storage.

 

Firstly, virtual instrument like DASYLab is able to control other DASYLab programmes running on machines connected in the same network connection. There are always two machines involved in any communication connection. With the development of virtual instrument in such a manner, a online monitoring programme can be designed to analyse the dynamics signals and it can be accessed and controlled easily at anywhere within the network connection.

 

The second approach takes advantage of the existing Remote Desktop Connection programme as the basis for the development of a monitoring system. The monitoring system can be designed using DASYLab. With the internet or network access, the local monitoring system can be accessed and controlled remotely from any location using the remote desktop connection programme.

 

The final technique makes use of the wireless data acquisition system. With the combination of wireless technology, Ethernet communication, direct sensor connectivity, and flexibility of DASYLab, a remote monitoring system again can be designed and controlled from any location within the wireless connection range.

 

These approaches are so flexible where configuration of multi PCs at different locations can be used to control and monitor the data from a single machine and  vice versa. Besides that, the combination of all of these three approaches can also be achieved in order to implement the monitoring system.