Medtronic, Inc.

Deere & Company

Iowa State University Research Foundation Inc

Chao Hu

Joseph J Viavattine

Paul B Aamodt

Michael B Hintz

Hailiang Zhao

Richard W Swenson

Jeffrey J Louwagie

Vadim A Yakovlev

Brian P Schmidt

Vincent Brama

Puqiang Zhang

Kevin D O'Connell

Nicholas H Finstrom

Jeffrey S Sidon

Mohammad Kazem Sadoughi

Hao Lu

Shawn A Kenny

Sriram Krishnaswamy

Kevin D O'CONNELL

Puquiang Zhang

Systems and methods are provided for fault detection in a component of a machine during operation. Vibration data is acquired based on a vibration signal output from a sensor associated with the component. The vibration data is analyzed with at least two machine learning models to predict a condition of the component.

Fault detection technique for a bearing

In some examples, a battery assembly for an implantable medical device. The battery assembly may include an electrode stack comprising a plurality of electrode plates, wherein the plurality of electrode plates comprises a first electrode plate including a first tab extending from the first electrode plate and a second electrode plate including a second tab extending from the second electrode plate; a spacer between the first tab and the second tab; and a rivet extending through the first tab, second tab, and spacer, wherein the rivet is configured to mechanically attach the first tab, second tab, and spacer to each other.

Battery assembly for medical device

Growing community of inventors

Ames, IA, United States of America

Chao Hu