Articles: Predictive Maintenance and Condition Monitoring Management

2009 PdM Program of the Year Award Winners

Primetime Programs receive award from Uptime Magazine

A Business-Based Approach to Developing an Effective Program

by Krzysztof (Kris) Goly

Over the last decade, there has been a general consensus throughout the industry that modern maintenance and plant asset management require the implementation of predictive maintenance techniques. In most instances, predictive technologies are implemented in the form of a Predictive Maintenance (PdM) Program.  PdM programs are designed and implemented through various approaches.  This article presents a business-based approach that has been utilized successfully by Siemens throughout the world and across various industries.

A Shortcut to Higher Efficiency

Adding Short Repairs to PM’s

by Joel Levitt

Have you ever thought about building in short repairs to your PM schedule?

Air Liquide Breaks Down Condition Monitoring Information Silos

Originally presented at Reliability 2.0

In an industry where it is not uncommon for companies to allow individual mills or plants to maintain their own autonomous condition monitoring operations, Air Liquide chose to go down a different path when it announced that it would partner with Azima DLI to manage all of its plants across the United States. The contract was one of the largest in the condition monitoring industry and indicates a growing trend for leading companies to instill consistency within their operations as opposed to allowing their own mills or plants to compete against each other.

An Overview of Remote Machine Condition Assessment

by John Bernet

Fifty years ago, when labor costs were relatively low compared to operating expenses, managers found that they could simply use more staff to cover the increasing demands of maintaining plant machinery.

Audit Forms for Predictive Maintenance Program Assessment

Audit Forms for PdM Program Assessment

Benchmarking a Better Understanding

Benchmarks Shed Light on Maintenance & Reliability Perceptions

by Klaus M. Blache, PhD

This interesting study compares data collected in 2008 to data collected in 1991 to chart the trends in reliability and maintenance over the last 17 years.

Choose Your PdM Partners Wisely

Or Discover Another Reason Why PdM Programs Can Fail

by Alan Friedman

Whether you are considering starting a new program, revamping a dead one, outsourcing or looking for someone to become a long term partner to step in when needed and step back when not needed, make sure you pick the correct partner.

Commtest Podcast: Predictive Maintenance and Condition Based Monitoring, Yesterday, Today, Tomorrow

Commtest Podcast: Predictive Maintenance and Condition Based Monitoring, Yesterday, Today and Tomorrow with Terrence O'Hanlon, CMRP, Publisher of Reliabilityweb.com and Uptime Magazine and Mike Howard, Manager, Director of Customer Success for Commtest Inc.

You can listen to this 15 minute audio podcast via streaming by clicking the arrow (requires speakers or headphones) below or you can download the MP3 audio file for your iPod, Blackberry, Smartphone or other portable audio player.

Diagnosing Rotor Bar Issues with Torque and Current Signature Analysis

by Drew Norman

Over the years rotor bar problems have been a diagnostic challenge for motor maintenance professionals.  Now with current signature, spectral torque analysis and automated computer diagnostic software, defining rotor health problems has been made fairly simple.  However, problems arise when professionals do not understand the underlying principles of the what’s, whys and how’s of dynamic rotor testing.

Increase Pump Uptime, Decrease Costs With Water Management System For Mechanical Seals

by Chris Rehmann

Rising cost and shrinking availability of clean water for operating industrial pumps are of concern to many plant managers, as is as the high cost of treating this water for disposal.  For over a half-century, the accepted method of providing cooling and flush water for mechanical seals and packing has been to pipe plant water through the seal or packing, and then to drain.  Under this scenario, the normal consumption of water is 1.7 million gallons of water per pump, per year. 

Ludeca Podcast: Predictive Maintenance and Condition Based Monitoring, Yesterday, Today, Tomorrow

Ludeca Podcast: Predictive Maintenance and Condition Based Monitoring, Yesterday, Today and Tomorrow with Terrence O'Hanlon, CMRP, Publisher of Reliabilityweb.com and Uptime Magazine and Trent Phillips, Condition Monitoring Manager, for Ludeca Inc.

You can listen to this 15 minute audio podcast via streaming by clicking the arrow (requires speakers or headphones) below or you can download the MP3 audio file for your iPod, Blackberry, Smartphone or other portable audio player.

Managing a Successful Condition Monitoring Program

Managing a successful condition monitoring program may seem easy to begin with. The technologies may be presented (by the sales companies) as being easy to use, and with a number of the technologies, it is not immediately obvious if they are not being used correctly. In the early days of a program, fault conditions will be easier to detect (there are probably a lot of them) so it is likely that management will be pleased with the results.

Mobius Institute Podcast: Predictive Maintenance and Condition Based Monitoring

Mobius Institute Podcast: Predictive Maintenance and Condition Based Monitoring, Yesterday, Today and Tomorrow with Terrence O'Hanlon, CMRP, Publisher of Reliabilityweb.com and Uptime Magazine and Jason Tranter, Managing Director, Mobius Institute.

PdM Centralization for Significant Energy Savings

Dale P. Smith, CMRP
Predictive Service, LLC

Abstract

All facilities lose energy dollars through overheated electrical distribution systems, overloaded and misaligned rotating assets as well as lose expensive compressed air and steam through leaking pipes/fittings. Couple this with the increasing pressures of global competition, thinning workforce, and budget constraints are forcing us to improve equipment reliability by fully leveraging predictive maintenance (PdM) technologies.

This paper focuses on how the successful integration of standard PdM technologies can capture significant energy savings and simplify ROI calculations. By the way, any associated benefits of increased safety, reliability and enhanced facility capacity are purely coincidental.

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