1. and spectral values on screen which characterize the

1. Data Acquisition is process of measuring an electrical or physical phenomenon such as voltage, pressure, temperature or sound with computer. DAQ system consists of sensors, hardware and computer with programmable software. Computer based DAQ systems provide more powerful, flexible and cost-effective measuring solutions. DAQ hardware acts as interface between computer and sensor signals. Its primary function is to digitize incoming analog signals from sensors so that computer can interpret them. The key measuring components of DAQ device used for measuring the signal are signal conditioning, Analog-to-digital converter (ADC) and computer bus.  Crash Test safety helmets (NI Compact DAQ): Head form of the helmet is equipped with an accelerometer. Helmet is dropped from height onto steel surfaces designed to simulate. 36 impacts are performed and if helmet experiences more than 300 peak G’s, the helmet fails the test. Digital, I/O capabilities of NI Compact DAQ are used to raise the elevator to a height that provides proper impact energy and also to initiate the drop. After helmet falls, sensor passes through the velocity gate and timer function is used to measure the helmet velocity just prior to the impact. This triggers the data acquisition system, which measures acceleration that head feels during the impact. This is most cost effective efficient testing process. Developing wind turbine Assembly dynamic diagnostics system using LABVIEW: The assembled turbine must comply with quality regulations that establish acceptable level of vibrations, which is recorded on sensitive points of the machine as primary requirement before shipping to the plant. LabVIEW is a programming tool for acquisition and graphic interface because of its versatility in terms of traceability parameters, data, user management and monitoring operating instructions. First stage of programming includes acquisition variables are established for hardware to work throughout the application. In second stage, system performs the operations needed to show statistical and spectral values on screen which characterize the dynamic behavior of the turbine in different operating conditions. Finally, data files generated are stored in monitoring machine which shows testing history and results achieved. Now a customized system is developed for reading and analyzing customized data to meet quality standards related to wind turbine testing over several months that offers quality, agility and flexibility required for operations.2. Cloud computing platforms and Data acquisition systems are connected together through internet and a large number of sensors and other data collection devices. These devices can setup complete system information which can be stored and analyzed only by virtue of cloud computing. Since high range of data undergo analysis, it is better to have a dedicated high-performance network to connect cloud computing platforms and data acquisition systems to improve the reliability of data transmission. Cloud platform for processing big data in power system: Electric power systems produces large scale of data, the power dispatching center should possess high computational ability and information collection, analysis and integration capabilities in future. Big data cloud computing platforms can integrate existing computing resources system, providing powerful computing and storage capacity to support a variety of analytical computing tasks. Real time remote monitoring with Data Acquisition system: The purpose of this system is to provide monitoring system for an electrical device and enable remote monitoring via web-based application. The sensors used for monitoring the system is connected to micro controller unit where all data reading is registered along with date and time and the data will be uploaded over GPRS to remote monitoring database providing the user real time data and data can be accessed from anywhere as it is stored in cloud storage application.