Abstract: A method and system of on spot diagnosis of one or more issues associated with a machine includes collecting sound data and image data associated with a machine through a mobile device and transmitting them to a cloud server over a communications network. The on spot diagnosis includes analyzing the sound data and image data in combination with an on spot feedback system through the cloud server. The on spot feedback system is communicatively coupled to a machine-learning engine and a Big Data architecture. The machine issue condition is indicated through a user interface dynamic such a circular gauge. An alarm is set, through a mobile device, for the machine issue.

Abstract: A field learning system comprising a system of feedback uses a user interface in web based and mobile applications to overcome the difficulty and infeasibility of supervised machine learning systems used for modeling failure states of machines

Abstract: A method and system of a distributed power line diagnosis includes one or more electrical readings received at a firmware board computation engine and an output of firmware board engine computation being transmitted through a wide communication network to a data hub computation engine. An output of the data hub computation engine is transmitted through the communication network to a big data server. One or more electrical line issues are visualized based on an analysis through the big data server and the same can be indicated through a user interface dynamic and an alarm can be set as well through the processor for the one or more electrical line issues.

Abstract: A system and method for accurately measuring the real-time valid dew-point value of a material and determining the total moisture content of the material within the valid dew-point value by using an algorithm during the material drying process. The algorithm estimates the valid dew-point value of the material and the total moisture content of the material by analyzing the sensor data received on a server. The algorithm determines a valid dew-point value by estimating an inflection point for the material, and the total moisture content of the material is determined within the valid dew-point value.