Eaton Corporation

Tsinghua University

The United States of America As Represented by the Department of Energy

Dawei He

Yi Yang

Liang Du

Yu Chen

Thomas G Habetler

Ronald Gordon Harley

Zhe Zhao

Shijie Zhu

Yongwei Pan

Gangtie Zheng

Qizhong Li

Jiuzheng Deng

Jianjin Zhu

A 2D image-guided surgical robot system for drilling operations includes surgical image acquisition equipment, robot positioning and drilling equipment, and a remote operation workstation. To perform a drilling operation, images of the surgery area are acquired with the image acquisition equipment and are registered to the robot, and a distortion correction is performed. A drilling path is assigned by a doctor through the GUI of the remote operation workstation, and the remote operation workstation calculates the robot motion quantity using a position-based method and moves the robot accordingly. Based on the relative position of the surgical tool and drilling path in the images, the remote operation workstation calculates a motion quantity using image feedback and controls the robot to make further fine adjustments to the drilling path. The robot then performs the drilling operation with an electric drill or holds a drill guide for doctors to perform the drilling manually.

2D image-guided surgical robot system

A system disaggregates and estimates power consumption of electric loads powered by a single electrical outlet. The system includes a processor having a routine; a current sensor cooperating with the processor to measure samples for one line cycle of an aggregated current waveform for the electric loads powered by the single electrical outlet; and a voltage sensor cooperating with the processor to measure samples for the one line cycle of a voltage waveform for the electric loads powered by the single electrical outlet. The processor routine transfers the measured samples for the one line cycle of the aggregated current waveform and the voltage waveform into an aggregated voltage-current trajectory for the single electrical outlet, and provides an instantaneous decomposition of power consumption for a plurality of different categories of the electric loads from the aggregated voltage-current trajectory for the one line cycle.

System and method for instantaneous power decomposition and estimation

A system for different electric loads includes sensors structured to sense voltage and current signals for each of the different electric loads; a hierarchical load feature database having a plurality of layers, with one of the layers including a plurality of different load categories; and a processor. The processor acquires voltage and current waveforms from the sensors for a corresponding one of the different electric loads; maps a voltage-current trajectory to a grid including a plurality of cells, each of which is assigned a binary value of zero or one; extracts a plurality of different features from the mapped grid of cells as a graphical signature of the corresponding one of the different electric loads; derives a category of the corresponding one of the different electric loads from the database; and identifies one of a plurality of different electric load types for the corresponding one of the different electric loads.

Method and system employing graphical electric load categorization to identify one of a plurality of different electric load types

A system is for a plurality of different electric load types. The system includes a plurality of sensors structured to sense a voltage signal and a current signal for each of the different electric loads; and a processor. The processor acquires a voltage and current waveform from the sensors for a corresponding one of the different electric load types; calculates a power or current RMS profile of the waveform; quantizes the power or current RMS profile into a set of quantized state-values; evaluates a state-duration for each of the quantized state-values; evaluates a plurality of state-types based on the power or current RMS profile and the quantized state-values; generates a state-sequence that describes a corresponding finite state machine model of a generalized load start-up or transient profile for the corresponding electric load type; and identifies the corresponding electric load type.

Method and system employing finite state machine modeling to identify one of a plurality of different electric load types

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Beijing, China

Dawei He