General Electric Company

Sas Institute Inc.

Ge Vernova Technology Gmbh

Sanjeev Shyam Heda

Robert Joseph Iasillo

Varunraj Valsaraj

Kedar Shriram Prabhudesai

Jonathan Lee Walker

Scott Alan Wood

Hardi Desai

Jonathan James McElhinney

Rik Peter De Ruiter

Andrey Matveenko

Rahul Jaikaran Chillar

Kevin Leon Bruce

Matthew John McKeever

Robert Walter Coign

Steven William Backman

Sameer Vittal

Xiaomo Jiang

Eric Thomas Pool

Hamza Mustafa Ghadyali

Bradley Wile

Devang Jagdish Gandhi

Alexander James Pistner

Matthew Everett Moore

Christopher Schreiner

Allen Joseph Langlois

John Jacob Patanian

Christopher Warren Childs

Carlo Angelo Yon

Nabaruna Karmakar

Kevin Clement Metz

Dibakar Chandra

Priti Upadhyay

Kunind Sahu

Frederic Combaneyre

Vasanthi Ascencio

Nirmal Sahadevan

Jorge Cano

Benjamin Moises Morales

Bryan Li

Ricardo Emilio Magana

James John D'Amato

Matthew John Mckeever

Carloa Angelo Yon

In some examples, a system can access video data collected from one or more image sensors. The system can execute a human detection model to detect a person within a region of interest proximate to the environment based on the video data. The system can also execute an object detection model to detect a presence or absence of personal protection equipment (PPE) based on the video data. The system can associate the PPE with the person to detect an unsafe PPE status. The system can determine that the unsafe PPE status has persisted for a predetermined period of time. In response to determining that the unsafe PPE status has persisted for the predetermined period of time, the system can generate a signal indicating the unsafe PPE status.

Detection of unsafe personal protection equipment status with multi-modal context awareness

In some examples, a system can access video data collected from one or more image sensors, the video data showing a region of interest proximate to a machine. The system can execute an object detection model to detect that a person is within the region of interest proximate to the machine based on the video data. The system can detect a motion status of a component of the machine. The system can execute a pose estimation model on the video data to estimate a pose of the person with respect to the machine. The system can detect a safety rule violation based on the pose of the person with respect to the machine, and the motion status of the machine. The system can transmit a signal to a controller of the machine in response to detecting the safety rule violation.

Detection and mitigation of unsafe behaviors using computer vision

A computing system detects a defective object. An image is received of a manufacturing line that includes objects in a process of being manufactured. Each pixel included in the image is classified as a background pixel class, a non-defective object class, or a defective object class using a trained neural network model. The pixels included in the image that were classified as the non-defective object class or the defective object class are grouped into polygons. Each polygon is defined by a contiguous group of pixels classified as the non-defective object class or the defective object class. Each polygon is classified in the non-defective object class or in the defective object class based on a number of pixels included in a respective polygon that are classified in the non-defective object class relative to a number of pixels included in the respective polygon that are classified in the defective object class.

Manufacturing defective object detection system

A process of evaluating and reducing outages in a power plant comprises acquiring analytical data for a power plant and its components, acquiring failure modes regarding power plants, identifying and categorizing the acquired failure modes in association with the components of the power plant at various levels, evaluating and ranking the significance of each of the identified failure modes based on the analytical data, evaluating and ranking the analytical coverages of the identified failure modes based on the analytical data, and ranking and evaluating the components based on the significance and the analytical coverages of their associated failure modes. Based upon the determined significance and analytical coverages of identified failure modes, a power plant owner is able to evaluate the performance of a power plant at various levels, identify analytical gaps in reducing outages of the power plant, and enhance the performance of the power plant.

Systems and methods to evaluate and reduce outages in power plants

Systems and methods for determining risk to operating a turbomachine are provided. According to one embodiment of the disclosure, a method may include receiving historical risk profile data associated with a fleet of turbomachines by at least one processor from a repository. The method can also include receiving ambient conditions of an environment in which a turbomachine is to be operated. Based at least in part on the historical risk profile data and in view of the ambient conditions, at least one risk threshold for at least one known operating profile can be developed. The method may continue with determining that the at least one risk threshold for the at least one known operating profile is reached. Based at least in part on a determination that the at least one risk threshold is reached, a mitigating action associated with the turbomachine can be taken.

Systems and methods for determining risk of operating a turbomachine

A system is provided comprising a memory configured to store instructions and a processor configured to execute the instructions. The processor is configured to execute the instructions to receive sensor data comprising sensed operations for a machinery, the sensed operations sensed via one or more sensors disposed in the machinery, and to derive a first model matrix based on the sensor data. The processor is further configured to derive a covariance regression model based on the first model matrix, wherein the covariance regression model is configured to be executed to derive a predictive event based on operational machinery data as input.

System and method for issue detection of industrial processes

Embodiments of the disclosure relate to performance testing of a gas turbine. In one embodiment, a gas turbine performance testing system can include a server, a transducer system, a signal converter, and an automated gas chromatograph. The transducer system acquires one or more functional parameters of the gas turbine and the signal converter converts the functional parameters acquired by the transducer system to gas turbine operational data. The automated gas chromatograph automatically analyzes a test sample of a natural gas that is used to operate the gas turbine. The gas turbine operational data generated by the signal converter and the analysis information obtained from the test sample are provided to the server for propagating via a communication network, to a client computer where the gas turbine operational data and the analysis information can be used to obtain a gas turbine performance test result.

Systems and methods for testing a gas turbine

A system for remote detection of surge in a fleet of turbine engines includes an on-site monitoring device coupled to each turbine engine of the fleet of turbine engines. The on-site monitoring device is configured to continuously receive operating parameter measurements indicative of operational and thermodynamic conditions of the turbine engine. The operational condition includes a compressor exit condition of the turbine engine compressor. The on-site monitoring device is configured to compile and transmit a snapshot of the operating parameter measurements to a remote monitoring unit. The remote monitoring unit is positioned remote from each turbine engine of the fleet of turbine engines. The remote monitoring unit is configured to receive the snapshot of operating parameter measurements from the on-site monitoring device. The remote monitoring unit is further configured to detect surge in the turbine engine based on analysis of the snapshot of operating parameter measurements.

Method and systems for detection of compressor surge

An approach for detecting rotor anomalies is disclosed. An on-site monitoring unit monitors vibration measurements obtained from a rotor during a transient speed operation. In one aspect, the on-site monitoring unit classifies the vibration measurements into predetermined ranges of rotor speed during the transient speed operation, determines maximum vibration data for each of the predetermined ranges of rotor speed during the transient speed operation and compiles the maximum vibration data into a snapshot of the vibration measurements obtained during the transient speed operation. A remote monitoring unit detects a rotor anomaly from the snapshot of vibration measurements generated by the on-site monitoring unit.

Detecting rotor anomalies

Systems and methods for protecting rotating machines are provided. Measurements data collected by a plurality of sensors may be received by a controller that includes one or more computers. The plurality of sensors may be configured to monitor vibrations associated with the rotating machine. Based at least in part upon the measurements data, the controller may determine that a respective amplitude change for at least two of the plurality of sensors exceeds a threshold condition. The controller may also determine that the threshold condition is exceeded for a predetermined period of time. Based at least in part upon determining that the threshold condition is exceeded for a predetermined period of time, the controller may identify an alarm event.

Systems and methods for protecting rotating machines

In one embodiment, a turbine system may include a turbine casing, a shroud block coupled to the turbine casing, a fluid passage in the shroud block; and a pin configured to interface with the fluid passage. The pin may include a hollow shaft; a rod inserted into the hollow shaft; and a valve disposed on a distal end of the rod, wherein the valve is configured to open and close the fluid passage when the rod is actuated remotely through the hollow shaft.

Turbine engine having cooling pin

Growing community of inventors

Kennesaw, GA, United States of America

Sanjeev Shyam Heda