This article discusses an example of the methods used to diagnose and trend an outer race-bearing defect on a 1,250 ton (4400 kW) air-conditioning chiller using vibration spectra as an indicator of the bearing condition. The diagnostic methods covered are universally applicable to other types of machines with rolling contact bearings.
The cloud's growing popularity can only be explained by its many advantages, starting with cloud computing's four "Cs": context, continuity, collaboration, and content.
Selling results to companies that understand those benefits.
Scalable and efficient applications of knowledge are vital. A generational change is reshaping how we look at PdM and IIoT.
Balance of technology and people to manage PdM programs
What techniques and technologies should be used beyond vibration analysis for common component types
Understanding the benefits of hosted predictive maintenance solutions.
Big data and IIoT. Collective of forward-leaning companies discuss big data, IIoT, and delivering PdM in the cloud environment.
The powerful impact new standards will have on industrial enterprise management and leadership.
Best practices for successful program implementation for naval ships.
Common pitfalls of PdM programs and how to avoid them.
Ten examples of Cost-Benefit Analysis for Condition Monitoring.
Changing the mindset from local predictive maintenance to a centralized business process was successful at Air Liquide.
Six processes that can derail your manufacturing process. Checkbox mentality, no management support, decentralized program, lack skill gap, overwhelm maintenance staff, lack long-term value.
Justifying the move to PdM to plant managers. Understanding of different maintenance program types, pros/cons. Composite Risk Index, with embedded case studies.
Anticipate failures and manage repairs to eliminate unexpected downtime with WATCHMAN Portal 3.0
It’s the Catch-22 of successful predictive analytics: When unexpected events such as unplanned downtime have been all but eliminated, what’s the value of prediction? How much continuing investment does an unpredictable future justify? The hard lesson of so many catastrophic events—industrial accidents and terrorist attacks alike—is that they were avoidable. With 20/20 hindsight, the data was available to predict the events, and there was time to intervene and head off disaster. How much have the avoidable catastrophic events of the 21st century cost us, and how much would we have willingly spent to prevent them?
More software and service offerings are leveraging the cloud to extend CBM’s reach.
Doing something useful with big data.
Everything you should should know about online systems.
Important considerations when thinking about the IIoT future in your maintenance program.
As equipoment gets more complex, plant teams are increasingly turning to OEMs and their analytical partners to understand and manage machine performance.
Cloud computing enables more efficient condition monitoring and optimizes equipment health.
Measuring ROI for best chance of success.
Contracting PdM tasks boosts uptime, productivity and cost effectiveness. Several factors to consider when putting together a sustainable PdM program.
The actions and attributes shaping our industry's response to workforce change.
When the only defense is a good offense. OEM vs balance of plant.
Areas of an PdM Program and how to get the most out of it.
Value of Infrared Thermography in a PdM program.
Data sharing and collaboration are bringing new life to predictive maintenance while delivering greater reliability gains.
The distributed model, outsourcing, partners
Why it matters to the C-suite
Big data and analytics benefit PdM novices, pros, and the bottom line.
OEM evolution from selling products to selling performance optimization.
Choosing a partner for Manufacturers and PdM
Using the knowledge, experience and understanding of both how new technology works and how they will affect decision making.
Beware the ineffective PdM Program
Managing talent and leveraging experience
A look at the industrial gases sector's fierce competitive market and how it shaped their approach to PdM.
Where does IIoT sit on the Hype cycle for Emerging Technology
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I don't currently have a PdM program.I have an in-house program (you collect and analyze).I have an outsourced program (someone else analyzes).
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