White Papers: In Depth Research

• CP eHandbook: Wireless - Plants Benefit from Wireless Technology

  Posted: Jan 17, 2013

• Productivity Improvement with Wireless Steam

  Author: Emerson

  Posted: Mar 13, 2012

  When steam traps leak or fail, energy is lost and there could also be steam equipment failure or damage and potential safety hazards. A major food manufacturer improved their steam trap program and enhanced their ongoing leak repair campaign with remote steam trap monitoring using Smart Wireless Solutions from Emerson.

• Improving Plant Production with Wireless Condition Monitoring

  Author: Jim Ralston, Wireless Sales Engineer, ProSoft Technology

  Posted: Sep 30, 2008

  Mechanical failure of motors, drives and other vital electromechanical equipment are among the most common reasons for production stoppages. Fortunately, recent advancements in vibration monitoring and data analysis have lead to condition monitoring systems that can accurately detect a problem before failure, thus reducing costly machine shutdowns and maximizing production output. These systems are installed on the monitored equipment and are typically networked back to a central computer for data analysis and alarm annunciation. Because the machines may be in remote locations where network infrastructure is not available, or on moving platforms where hardwired network connectivity is not practical, wireless communications is a networking alternative that offer installation cost savings, quicker deployment and even improved reliability in certain situations.

• Using Operator Interfaces to Optimize Performance of Industrial Wireless Networks

  Author: Jim Ralston, Wireless Sales Engineer, ProSoft Technology

  Posted: Sep 30, 2008

  The performance of wireless networks can change over time due to increased performance demands, changes in the radio frequency (RF) environment and changes in the physical environment. This article will explore the use of a wireless diagnostic OLE for Process Control (OPC) server technology to embed diagnostic information in human machine interfaces (HMIs), thus optimizing industrial wireless network performance.