by Drew Troyer, CRE, CMRP, T.A. Cook/Accenture, Editor | Oct 3, 2021 | Asset Management, RAM Tools & Methods
The Availability metric is the first element of Overall Equipment Effectiveness (OEE). In Part 1 of this series about Availability, I suggested that to assure the integrity of this metric, we must calculate Availability as total running hours in a year divided by...
by Ken Bannister, MEch (UK), CMRP, MLE, Editor | Sep 27, 2021 | Asset Management, Planning & Scheduling
In the world of maintenance, we check and measure many things. We do so primarily to recognize and evaluate changes in the desired state of an item or system that’s being monitored and maintained by a preventive-maintenance (PM) program. Ideally, the PM...
by Drew Troyer, CRE, CMRP, T.A. Cook/Accenture, Editor | Sep 27, 2021 | Asset Management, RAM Tools & Methods
In my last article for The RAM Review (see link below), I introduced the Availability metric and discussed how to account for planned unavailability. Availability, Yield/Speed, and Quality are the three elements of the Overall Equipment Effectiveness (OEE) metric,...
by Howard Penrose, Ph.D., CMRP | Sep 26, 2021 | Asset Management, Electrical Reliability
Considerable attention has been given to the application of Electrical and Motor Current Signature Analyses (ESA and MCSA) in motors and generators. But little in the way of research has been published on the use of ESA with transformers. From an operational...
by Howard Penrose, Ph.D., CMRP | Sep 19, 2021 | Asset Management, Electrical Reliability
This week’s article concludes our seven-part series. In Parts V and VI (see links below), we developed the classification and Remaining Useful Life (RUL) models that we would use in our Machine Learning project. The final step in developing our tool is to...
by Drew Troyer, CRE, CMRP, T.A. Cook/Accenture, Editor | Sep 13, 2021 | Asset Management, RAM Tools & Methods
In last week’s article (Sept. 5, 2021, see link below), we introduced Overall Equipment Effectiveness (OEE). It’s the product of multiplying three input elements (Availability, Yield/Speed, and Quality) to arrive at a number representing the performance of...
by Howard Penrose, Ph.D., CMRP | Sep 12, 2021 | Asset Management, Electrical Reliability
Up until now, we’ve focused on just using raw electric-motor data in this Machine Learning series (see article links to below). That includes moving from working through the information to classifying different types of faults with it. The aim, in effect, has...
by Drew Troyer, CRE, CMRP, T.A. Cook/Accenture, Editor | Sep 5, 2021 | Asset Management, RAM Tools & Methods
As we continue our discussion of important asset-management metrics and Key Performance Indicators (KPIs), let us turn our attention to Overall Equipment Effectiveness (OEE) in the first of what will be several articles on this particular indicator. OEE is calculated...
by Howard Penrose, Ph.D., CMRP | Sep 5, 2021 | Asset Management, Electrical Reliability
In Part IV of this series (link below), we determined how to pre-process data for our example Machine Learning (ML) project. Here, we discuss development of data representing defective conditions if the real-world type isn’t available. Beware, though: This task...
by Drew Troyer, CRE, CMRP, T.A. Cook/Accenture, Editor | Aug 30, 2021 | Asset Management, RAM Tools & Methods
In two recent editions of The RAM Review (see article links below), I discussed Mean Time Between/To Failure (MTBF/MTTF), which quantifies the average time between failure events. This week, my focus is on the Mean Time To Repair (MTTR) metric, which quantifies the...
