Abstract: The method provides for receiving a draft message that includes recipients of the draft message, content of the draft message, and zero of more attachments included with the message, from a sending user. A pre-determined number of properties are determined from the draft message, which include information about the sending user, the recipients of the draft message, a subject and content of the draft message, and a sentiment of the draft message. The draft message properties are submitted to a pre-trained classifier model trained by supervised machine learning techniques to recommend whether a meeting held with the recipients or a delivered communication to the recipients is recommended for the draft message, and responsive to receiving a recommendation of a draft meeting with the recipients from the classifier model, presenting the recommendation of a meeting with the recipients to the sending user.

Abstract: A method and system for estimating wax or hydrate deposits is desirable for the oil industry and important for assuring flow conditions and production, avoiding downtime, and reducing or preventing costly interventions. The method and system disclosed herein use artificial intelligence and machine learning techniques combined with oil well historical operational sensor data and historical operational event records (such as diesel hot flush, slick line, coil tubing, etc.) to build an oil well model. The method and system enable oil well practitioners to test and validate the built model and deploy the model online to estimate and/or detect wax or hydrate deposition status. By using one or more such models in operating an oil well, users can monitor and/or detect the status of wax of hydrate deposits in an oil well and can optimize production, maintenance, and planning for oil wells.

Abstract: Systems and methods for building predictive and prescriptive analytics of wind turbines generate a historical operational dataset by loading historical operational SCADA data of one or more wind turbines. Each sensor measurement is associated with an engineering tag and at least one component of a wind turbine. The system creates one or more performance indicators corresponding to one or more sensor measurements, and applies at least one data clustering algorithm onto the dataset to identify and label normal operation data clusters. The system builds a normal operation model using normal operational data clusters with Efficiency of Wind-To-Power (EWTP) and defines a statistical confidence range around the normal operation model as criterion for monitoring wind turbine performance. As real-time SCADA data is received by the system, the system can detect an anomalous event, and issue an alert notification and prescriptive early-action recommendations to a user, such as a turbine operator, technician or manager.

Abstract: Embodiments include a computer-implemented method (and system) for performing automated batch data alignment for modeling, monitoring, and control of an industrial batch process. The method (and system) loads, scales, and screens plant historian batch data for an industrial batch process. The method (and system) selects a reference batch as basis of the batch alignment, defines and adds or modifies one or more batch phases, and selects one or more batch variables based on one or more profiles and corresponding curvatures of the batch data. The method (and system) estimates one or more weightings, adjust one or more tuning parameters and uses a sliding time window combined with DTW, DTI and GSS algorithms, performs the batch alignment in offline mode or online mode.

Abstract: Systems and methods for building predictive and prescriptive analytics of wind turbines generate a historical operational dataset by loading historical operational SCADA data of one or more wind turbines. Each sensor measurement is associated with an engineering tag and at least one component of a wind turbine. The system creates one or more performance indicators corresponding to one or more sensor measurements, and applies at least one data clustering algorithm onto the dataset to identify and label normal operation data clusters. The system builds a normal operation model using normal operational data clusters with Efficiency of Wind-To-Power (EWTP) and defines a statistical confidence range around the normal operation model as criterion for monitoring wind turbine performance. As real-time SCADA data is received by the system, the system can detect an anomalous event, and issue an alert notification and prescriptive early-action recommendations to a user, such as a turbine operator, technician or manager.

Abstract: The present invention relates to a system and process carried out after a process of separating fragments of steel from pieces of ore that come out of a semi-autogenous grinder for grinding ores, and which consists of a system formed by one or more instruments for capturing images, each one being sensitive to light of different wavelengths, which point to the surface of an element for receiving the steel fragments or a channel that receives the steel balls and the fragments thereof from the separation process, through which the steel balls and fragments thereof move when they are discharged from this process, with the possibility of directing each image sensor such that it is not parallel to the others. By digitally processing the images obtained with the one or more sensors, the dimensions and morphology of the balls and ball fragments discharged from the separation process can be determined.

Abstract: A system that provides an improved approach for detecting and predicting failures in a plant or equipment process. The approach may facilitate failure-model building and deployment from historical plant data of a formidable number of measurements. The system implements methods that generate a dataset containing recorded measurements for variables of the process. The methods reduce the dataset by cleansing bad quality data segments and measurements for uninformative process variables from the dataset. The methods then enrich the dataset by applying nonlinear transforms, engineering calculations and statistical measurements. The methods identify highly correlated input by performing a cross-correlation analysis on the cleansed and enriched dataset, and reduce the dataset by removing less-contributing input using a two-step feature selection procedure. The methods use the reduced dataset to build and train a failure model, which is deployed online to detect and predict failures in real-time plant operations.

Abstract: A method and system for estimating wax or hydrate deposits is desirable for the oil industry and important for assuring flow conditions and production, avoiding downtime, and reducing or preventing costly interventions. The method and system disclosed herein use artificial intelligence and machine learning techniques combined with oil well historical operational sensor data and historical operational event records (such as diesel hot flush, slick line, coil tubing, etc.) to build an oil well model. The method and system enable oil well practitioners to test and validate the built model and deploy the model online to estimate and/or detect wax or hydrate deposition status. By using one or more such models in operating an oil well, users can monitor and/or detect the status of wax of hydrate deposits in an oil well and can optimize production, maintenance, and planning for oil wells.

Abstract: A drill bit with individually-balanced cutting elements. The working surface of the cutters includes a balancing feature, such as an elongate ridge, and a balancing line that extends along the length of the feature, and through the center of the working surface. The cutters are positioned in the bit so that the working surface of each cutter removes formation material in an area of cut, and so that the cutter's balancing line passes through a centroid of its area of cut. A method for making a bit with individually-balanced cutters includes positioning cutters in the bit so that a cutter's balancing line passes through a selected centroid of the cutter's area of cut.

Abstract: Embodiments include a computer-implemented method (and system) for performing automated batch data alignment for modeling, monitoring, and control of an industrial batch process. The method (and system) loads, scales, and screens plant historian batch data for an industrial batch process. The method (and system) selects a reference batch as basis of the batch alignment, defines and adds or modifies one or more batch phases, and selects one or more batch variables based on one or more profiles and corresponding curvatures of the batch data. The method (and system) estimates one or more weightings, adjust one or more tuning parameters and uses a sliding time window combined with DTW, DTI and GSS algorithms, performs the batch alignment in offline mode or online mode.

Abstract: A system that provides an improved approach for detecting and predicting failures in a plant or equipment process. The approach may facilitate failure-model building and deployment from historical plant data of a formidable number of measurements. The system implements methods that generate a dataset containing recorded measurements for variables of the process. The methods reduce the dataset by cleansing bad quality data segments and measurements for uninformative process variables from the dataset. The methods then enrich the dataset by applying nonlinear transforms, engineering calculations and statistical measurements. The methods identify highly correlated input by performing a cross-correlation analysis on the cleansed and enriched dataset, and reduce the dataset by removing less-contributing input using a two-step feature selection procedure. The methods use the reduced dataset to build and train a failure model, which is deployed online to detect and predict failures in real-time plant operations.

Abstract: A drill bit with individually-balanced cutting elements. The working surface of the cutters includes a balancing feature, such as an elongate ridge, and a balancing line that extends along the length of the feature, and through the center of the working surface. The cutters are positioned in the bit so that the working surface of each cutter removes formation material in an area of cut, and so that the cutter's balancing line passes through a centroid of its area of cut. A method for making a bit with individually-balanced cutters includes positioning cutters in the bit so that a cutter's balancing line passes through a selected centroid of the cutter's area of cut.

Abstract: The present invention includes a system, methods and apparatus for sterilization of an object (e.g., food products). The present invention takes advantage of the electron scatter that occurs when electron beam is applied onto a surface. The present invention is capable of treating irregular surfaces (e.g., carcasses, spherical/round surfaces) or any type of surface where complete penetration is not needed or desired.

Abstract: The present invention includes a system, methods and apparatus for sterilization of an object (e.g., food products). The present invention takes advantage of the electron scatter that occurs when electron beam is applied onto a surface. The present invention is capable of treating irregular surfaces (e.g., carcasses, spherical/round surfaces) or any type of surface where complete penetration is not needed or desired.

Abstract: Acid compositions for ruminants containing a plurality of acid-neutralizing salts with pKa's effective at different ruminant gastrointestinal pH ranges and an active probiotic culture capable of stimulating the growth and concentration of beneficial acid-consuming rumen microorganisms. Methods for preventing clinical and sub-clinical acidosis in ruminants with the acid-neutralizing salts and feed compositions to which the acid-neutralizing salts have been added are also disclosed.