Asset and maintenance management are becoming increasingly complex tasks. Those responsible must make decisions about the condition of equipment and machinery that can have an impact on the operation of the entire plant. So, it is not at all surprising that they are constantly trying to improve their asset management and maintenance strategies. There are numerous methods and tools available to help companies and managers make decisions regarding their maintenance concepts. Nowadays, it is possible to interpret data to allow foresight into the future condition of the assets. And it is not only about optimizing maintenance management technology. Rather, the entire decision-making process of asset management and the maintenance staff is under scrutiny.
In any industrial environment, and particularly those with geographically distributed and remote assets and operations, reliable monitoring can be a challenge. Catastrophic equipment failure can occur without warning and, in some cases, go for long amounts of time without being noticed. The oil and gas industry, among other industries, was quick to recognize the benefits of remote monitoring and diagnostics (RM&D), as oil and gas companies have very expensive equipment deployed in disparate locations around the world. These difficult operating conditions make topflight monitoring and diagnostics systems crucial to ensuring that workflow operations can continue without interruption.
“The reliability of rotating equipment is almost inevitably linked directly to bearing life, and it is estimated bearing failure is responsible for almost 21 percent of these equipment failures.” – Heinz P. Bloch, P.E., 2011
Problems for maintenance reliability professionals in asset-intensive industries begin long before the plant is running. The root of a problem typically begins in the engineering and design phase, well before construction begins.
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All operations managers know the great importance of being able to meet their organization’s increasing expectations for reliability, lower costs and higher uptime. Admittedly, some do try to build a differentiator by focusing exclusively on building and tracking financial key performance indicators (KPIs). Nevertheless, this is merely a subset of what a world-class maintenance system is really about.
Good information is the holy grail of asset management. Everyone is looking for complete, accurate and up-to-date information to make informed business decisions that will improve asset performance, reduce risk and lower costs.
Many highly integrated and easy to deploy condition monitoring products are appearing on the market that employ a micro electromechanical system (MEMS) accelerometer as the core sensor. These economical products help to reduce the overall cost of deployment and ownership, and in the process, expand the universe of facilities and equipment that can benefit from a condition monitoring program.
“Can’t we all just get along?” As the fifth child of eight, I remember my mother saying that quite often. Having four older brothers, it really never happened where we just all simply got along.
Now as an asset reliability educator, I travel around the country providing in-plant training for operators and maintenance personnel. During these training sessions, often times I am reminded by the folks who spend the majority of their day inside these American manufacturing facilities, that I must be living in a different world.
“Everything you are saying about asset reliability sounds great, but we are charged with getting product out the door. We don’t have time to do all the best practice things you are talking about.”
I completely understand this sentiment. I really do. However, we must find a way to meld our two worlds.
Low and high voltage motor circuit analysis (MCA) methods have existed since the 1950s, with low voltage MCA technology becoming commercially viable in the 1980s. Since the mid-1980s, MCA technologies have become more prevalent as part of predictive maintenance and motor diagnostics programs across all industries. While the descriptions of these technologies are high and low voltage, they describe the types of outputs from the instruments, not the types of electric machines tested. This article explains the concurrent application of low and high voltage MCA on 4160 volt induction machines through 13.8 kV synchronous motors.
Modern Predictive Maintenance (PdM) has come a long way in recent years, with ease of use and installation both having increased significantly, while cost has similarly decreased. Conventional PdM was an expensive and time consuming technology and, because of this, it was reserved for only the most critical facilities. The problem with this is that less costly equipment, though seemingly peripheral, can be just as essential to continuing operations, and it is instead relegated to a preventive maintenance (PM) schedule.
It’s not easy trying to convince people to use a more comprehensive approach to achieve reliability and operational excellence objectives. Managers need to focus less on maintenance and more on operations, design and procurement. Eliminating the defects in these areas will naturally result in fewer failures, lower costs, higher production and, not surprisingly, a far more efficient and effective maintenance organization. If you focus mainly on maintenance, you will only do work that you shouldn’t be doing in the first place more efficiently. But if you focus on the other areas, working as a team aligned to a common purpose while giving an appropriate level of attention to maintenance, you will be far more successful in having a reliable plant. This article attempts to convince people to apply this comprehensive approach by addressing certain myths.
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