Unfortunately, there is not an easy way to tell if lubricants have been mixed unless they have vastly different viscosities, such as ISO 32 and ISO 680. You then most likely would see a thickening or thinning of the lubricant. Also, if a red automatic transmission fluid (ATF) was mixed with an engine oil, there might be some type of color change.
Proactive organizations recognize that one of the critical success factors in achieving a best practices reliability program is developing a sound maintenance, repair and operations (MRO) spare parts program. That notion is quickly followed by the realization that there are potentially hundreds of improvement opportunities that typically could be associated with a materials management effort. As such, it becomes overwhelming to determine where to start.
In the not too distant past, most senior level managers would cringe when someone said a failure mode and effects analysis (FMEA) needed to be performed on the hydraulic system. What immediately came to mind is a bunch of highly paid people sitting around a table dreaming up ways to eliminate things that may or may not happen to their hydraulically operated equipment.
Many companies are beginning to search for and implement sophisticated maintenance and reliability (M&R) tools and technologies in hopes of finding the next best thing to help achieve operational excellence (OE). Terms, such as asset performance management (APM), predictive analytics, machine learning, Industrial Internet of Things (IIoT), the Cloud, connected plant, etc., are making their way into everything M&R. As game changing as these concepts can be, adopting advanced technologies without first addressing the basic fundamentals of M&R is like building the world’s finest home on a crumbling foundation.
In some organizations, reliability is not just a word, but a culture that has been built over a period of time. Developing a reliability culture is not solely a top-down approach or dependent on the company’s vision. Sometimes, it is taken as a normal, routine job, while other times, it may get a fast-track status.
How can anyone walk by a defect right there, day in and day out and in their face, and do nothing?
Ever walk into a room, look around and conclude that all is well. But then, someone picks up papers, a briefcase, or some other object from the floor, right where you were about to walk. You hadn’t seen it. Your vision is fine, so how could you have missed it? It makes you wonder how many other little things you missed in other places, too. Continue reading
Tapered roller bearings can be set at initial machine assembly to any desired axial or radial clearance. This unique feature enables a designer to control bearings to meet anticipated application operating conditions, and thereby provide optimum bearing and system performance.
Another trite phrase has the answer: The weakest link in a chain is the strongest because it can break it.
Preventative and routine maintenance models help alleviate downtime and boost overall production. The most popular method is Total Productive Maintenance (TPM).
Asset performance data fuels predictive, condition-based and reliability-centered maintenance strategies. Capturing run-time readings, energy consumption, condition and qualitative data in the EAM system on a real-time basis can save time, reduce maintenance costs and improve asset reliability. Obtaining quick and efficient access to asset performance data should be mission critical for every asset management operation.