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 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 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 machine learning method and system for predictive maintenance of a dryer. The method includes obtaining over a communication network, an information associated with the dryer and receiving measurements of a vibration level of one of a process blower, a cassette motor and a regeneration blower associated with the dryer. Further, an anomaly is determined based on at least one of a back pressure and a fault and balance of at least one of the process blower and the regeneration blower is tracked. An alarm for maintenance is raised when one of an anomaly and an off-balance is detected.

Abstract: An automated earth fault testing system and early warning system designed to be used with mobile towers for real-time monitoring of the earthing values. The automated earth fault testing system comprises an earth fault testing device powered by a low voltage direct current battery, a plurality of terminals, at least one calibration switch including a calibration pad for calibrating the earth fault testing device, a plurality of visual indication means for providing indication of a variety of conditions including high and/or normal value of the earth resistance value and for indicating a charge level of the earth fault testing device and a liquid crystal display for displaying the earthing values. The earth fault testing device is connected to an alarm system of a base transceiver station utilizing a relay for informing the mobile signal station and operator with information regarding a status of the earth fault testing device.

Abstract: A system for rule management, predictive maintenance and quality assurance of a process using automatic rule formation comprising a plurality of sensors capable of being attached to at least one machine for measuring at least one information about the process and machine operation. The system comprises a server connected to the sensors over a wireless communication network and running a reconfigurable rule management program for identifying and processing the particular process and machine information related to at least one process received from the plurality of sensors. A controller in communication with the server capable of controlling the process based on a rule set by the rule engine. The rule engine automatically detects the normal process data, classifies the received data based on the dynamic rule formed by the rule engine and finds anomalies in the process or machine operation for predictive maintenance and process quality assurance.

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.