by Howard Penrose, Ph.D., CMRP | Aug 30, 2021 | Asset Management, Electrical Reliability
Evaluation and pre-processing of data is one of the more time-consuming steps in development of a machine-learning (ML) project. In this step, the data scientist views and manipulates the collected data to see what types of artifacts and patterns emerge, including...
by Ken Bannister, MEch (UK), CMRP, MLE, Editor | Aug 30, 2021 | Asset Management, Lubrication Corner
Grease guns seem simple enough. But how well do you know yours? Do you know how to correctly cartridge and/or bulk load your gun? Do you know how to expel trapped air from it? Do you know its shot size in cc or cu in (e.g., in cubic centimeters or cubic inches)? Do...
by Drew Troyer, CRE, CMRP, T.A. Cook/Accenture, Editor | Aug 23, 2021 | Asset Management, RAM Tools & Methods
The first part of this two-part article (see link below) addressed the basics of Mean Time Between/To Failure (MTBF/MTTF), which is one of the most fundamental performance metrics for reliability engineering. To recap: in Part 1, I discussed the fact that MTBF/MTTF...
by Howard Penrose, Ph.D., CMRP | Aug 21, 2021 | Asset Management, Electrical Reliability
In Parts I and II of this particular series (see links below), we discussed using raw motor data for Machine Learning (ML); identified an example electric motor; selected an ML language; and explored some available motor data. Now we need to determine what we will be...
by Ken Bannister, MEch (UK), CMRP, MLE, Editor | Aug 21, 2021 | Asset Management, Plant Operations
In my social circle, the topic of conversation will, at some point, invariably turn to any and all things with engines, motors, and wheels. In a recent small gathering of conversation-starved friends (due to COVID lockdowns), this interesting question was posed: “How...
by Howard Penrose, Ph.D., CMRP | Aug 15, 2021 | Asset Management, Electrical Reliability
In the first part of this article series (Aug. 8, 2021, see link below), we identified an electric motor and raw data that’s available for performing a Machine Learning (ML) project. We also reviewed the basic steps in the development of an ML system using that...
by Drew Troyer, CRE, CMRP, T.A. Cook/Accenture, Editor | Aug 15, 2021 | Asset Management, RAM Tools & Methods
Having recently concluded my seven-part series (see links at the end of this article) on leading asset-management indicators that drive proactive behaviors in maintenance and reliability, I’m now turning my attention to lagging metrics. Think of leading...
by Heinz Bloch, P.E., Editor | Aug 15, 2021 | Asset Management, The Bloch Files, Workforce Issues
Some of today’s top RAM professionals take exception to the notion that technical books dealing with reliability, availability, and maintenance (“RAM”), and/or equipment-asset management can become outdated over time. They rightly dispute that...
by Howard Penrose, Ph.D., CMRP | Aug 8, 2021 | Asset Management, Electrical Reliability
The race to Machine Learning (ML) and Artificial Intelligence (AI) for electric machines has primarily focused on the spectral features of those units. As more academic papers are published, though, the focus is taking us further into advanced topics. Those topics are...
by Drew Troyer, CRE, CMRP, T.A. Cook/Accenture, Editor | Aug 8, 2021 | Asset Management, Newsletter Column
From a climate change perspective, carbon dioxide (CO2) gets all the press. But methane (CH4), the primary component of natural gas, is growing at a faster rate than CO2, and control of it is much more attainable in the near term. As a greenhouse gas (GHG),...
