When looking at the P-F reliability curve, there are two main categories of maintenance reliability action where resources may be focused: the P-F region and the I-P region.
The P-F region (see Figure 1) is the portion that typically receives most of the attention. Since the equipment defect or failure has already begun, this region is about detecting and predicting equipment failure modes so repairs can be made in a planned manner. Continue reading
Unless, maybe, you feel reactive behavior is actually useful in some ways?
One way would be
Managers Using Crises As A Way To Keep Organizations Energized…
Organizations and people seem to naturally get complacent over time. We fall into ruts in performance and behavior where we don’t like to push ourselves outside of the routine.
Procrastination seems to be a natural human tendency. “Why do something that will take some different kind of effort today?” Something that might lead to issues we haven’t had to deal with before. Something that might be difficult and stressful.
When funds get tight for many colleges and universities, one of the early cuts is often to the facilities department. After all, financial aid and faculty salaries are necessary to be competitive in the market, but updating a building’s boiler or switching to all new lightbulbs is often seen as a luxury that can wait another year.
In the June/July 2016 Uptime article, “Condition Monitoring and MEMS Accelerometers: What You Need to Know,” several attributes of microelectromechanical system (MEMS) accelerometers were presented that make the technology compelling for condition monitoring applications. This article reviews data demonstrating the state of MEMS technology development and performance levels by comparing it to a commercially available piezoelectric (PZT) condition monitoring accelerometer.
With all the technology out there, all talking to each other, the world is increasingly becoming more and more connected – indeed, flat. The Industrial Internet of Things (IIoT) seems like a nebulous concept that encompasses everything from machine learning and robotics to drone delivery systems and intelligent point-of-use vending. There is more information available than ever before, but making sense of all this data can be daunting. This article will help bring clarity to how the IIoT can enhance all aspects of manufacturing.
Interpreting the vibration signature of plant equipment.
Vibration analysis, properly done, allows the user to evaluate the condition of equipment and avoid failures. Maintenance personnel can minimize unplanned downtime by scheduling needed repairs during normal maintenance shutdowns. How can you interpret — at a glance — the comprehensive spectrum information available? In layman’s terms, here is how to interpret the vibration signature of rotating equipment. You can learn to recognize misalignment, a defective bearing, bent or loose parts — and tell them apart.
Several tests can be performed on a hydraulic pump to indicate its condition. The temperature of the pump case, the flow of the case drain and the current draw of the drive motor are common checks that can be done regularly and over a period of time to track the wear of a hydraulic pump.
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Do not dismiss the above statement thinking it does not apply to your situation because you are not a roving consultant or contractor. In-house maintenance reliability professionals need to exhibit the same, or even better, customer service when it comes to driving change or pulling their organization toward a path of continuous improvement.
Plain and simple: there’s a lot that goes into a preventative maintenance program for hydraulic systems. While it’s a discipline that’s very basic and uncomplicated when you boil it down, there are many tests that need to be performed and plenty of steps where something can be done incorrectly, so it’s critical to the health of your machine that all are done regularly and properly. In order to do this, it’s important that both the system and hydraulic fluid are taken care of, as your fluid and systems are completely interdependent.