Gerry Nagel

Adjunct Assistant Professor | Milwaukee School of Engineering

Milwaukee, WI, UNITED STATES

Gerry Nagel is a Principal Software Engineer leveraging experience in software and systems.

Education, Licensure and Certification (2)

M.S.: Engineering Management, Milwaukee School of Engineering 2000

B.S.: Electrical Engineering, Milwaukee School of Engineering 1989

Biography

Gerry Nagel is a Principal Software Engineer leveraging experience in software and systems. He is known for contributions as Lead Architect for multiple component-based frameworks as well as authoring documentation on object-oriented designs. Gerry has also been lead software engineer for flagship software applications and systems.

Areas of Expertise (5)

Automation

Design Patterns

C++

Microcontrollers

Machine Learning

Patents (5)

Method and system for real-time anomaly detection in a motor drive

US10879831B1

2020-12-29

A system and method for real-time detection of anomalies in a motor drive includes a controller receiving one or more signals corresponding to real-time operation of a controlled system. The controller samples the real-time signal during operation of the controlled system and maintains a moving window of the sampled data. A signature of the sampled data within the moving window is then generated. Each signature corresponds to operation of the controlled system within the period of time defined by the moving window. An identifier and a number of occurrences of each signature may be stored with the signature. An initial table of expected signatures may be generated, for example, by executing a training, or learning, period within the control system. The controller compares each real-time signature against the table of expected signatures to detect the occurrence of an anomaly.

Automatic network discovery in precision time protocol networks

US9288112B2

2016-03-19

Aspects of the present invention provide systems and methods using precise timing relationships between nodes in computer networks to generate mappings depicting the physical arrangement or ordering of nodes in the computer networks. The technical effect is by tracking the timing delays between nodes as observed by an individual node, and collecting such information together for subsequent processing, nodes may receive and/or construct an entire physical network topology using an algorithm accordingly.

Sizing and tuning methodology for optimized motion control components and energy efficiency

US9354651B2

2016-05-31

Aspects of the present invention provide a tool for simulating a motion control system that simulates performance and energy for a given configuration. The simulation analysis considers a motion profile and one or more corresponding performance parameters, and the resulting configuration provides hardware elements, such as drives and motors, and settings of those elements. The simulation allows optimization for energy efficiency, as opposed to only speed or accuracy.

Error diagnostics and prognostics in motor drives

US9207671B2

2015-12-08

An automation network that utilizes motor drives to diagnose faults, and provide potential solutions to a user. The fault status and/or diagnostic remedies may be displayed via a user display integrated with (e.g., in a single cabinet with) the motor drives and/or coupled to (e.g., in an external device separate from) the motor drives. As such, a logic process or other algorithm may be executed by the motor drive to determine a potential set of solutions for any given fault, based on, for example, determined errors and likelihood of causes for presentation to a user. In this manner, motor drives may allow for user corrective actions to be communicated to a user.

Method and apparatus for detection of drive misconfiguration in a multi-axis configuration

US9148042B2

2015-09-29

A system for detecting a mismatch between how a motor drive is connected electrically and how it is configured for operation is disclosed. The motor drive may either be connected in a stand-alone mode to control operation of a motor from an AC source without connection to another motor drive or be connected electrically to other motor drives, for example, in a paralleled mode, shared DC bus mode, or a combination thereof. A parameter identifies the expected electrical configuration of the motor drive. The power transferred to the DC bus is compared to the power transferred from the DC bus in the motor drive. If the difference between the power transferred to the DC bus and the power transferred from the DC bus exceeds a predetermined threshold, the motor drive detects the mismatch between how a motor drive is connected electrically and how it is configured for operation.