Development of remote monitoring analysis and reporting system for industrial machines

This paper deals with the software development for a remote monitoring of industrial machines with the features of analysis of the machine data to detect any abnormality in their operations and generating a report according to this analysis. A set of software tools is thus developed for this diagnostic system with the primary objective is to detect any incipient faults those are being cropped up and are becoming severe with time. Motor Current Signature Analysis (MCSA), sequence component analysis etc. types of tool are utilized to detect any incipient fault. The front end GUI (Graphical User Interface) displays the running conditions of the machines of this multi-machine monitoring system along with a list of maintenance schedule while the back end Management Information Base (MIB) controls all the data collection, interfacing of GSM modem for sending SMS for the faulty machine information and sends the control action for the machine(s). Hybrid Data Compression scheme is utilized to make the system communication efficient as well as secured one. The developed system is tested with two/three machine in our laboratory.