Automation World

Electric Actuators for High-Mix Production: How Smart Design Reduces Changeover Time and TCO

A look at how modern electric actuators combine mechanical innovation with digital control, enabling rapid product ...
IEEE

A Novel Model of Bearing Fault Diagnosis Based on Convolutional Auto-encoder and Capsule Network

Abstract: A convolutional auto-encoder and capsule network based fault identification method (CaCAE) for rotating machinery is proposed. Firstly, the convolutional auto-encoder is constructed, to ...
POWER Magazine

Generator Bearing Failures: Root Cause Analysis and the Role of Integrated Data

Learn how root cause analysis and integrated data prevent hydropower bearing failures, reduce costly downtime, and improve ...
Eureka

Why Drive System Design is Crucial for Automated Liquid Dispensing

By co-designing the drive system with the pipetting channel, manufacturers can ensure compact, efficient, and high-precision ...
IEEE

Physics-Informed Neural Network for Angular Dynamic Model Parameters Estimation of Faulty Bearing Oriented to Optical Encoder Signal

Abstract: Dynamic models of bearings have been widely recognized as an effective approach to synthesizing diverse bearing fault samples for data-driven intelligent diagnosis. To tackle the key ...