Internet Of Things Project
At the IEEE Industrial Applications Society meetings earlier this month in Calgary, Alberta Canada, four electrical engineers presented a paper that should guide decisions by campus energy and internet security leadership. They will likely not see the guidance in this document in any current version of a code or standard to which they must conform but, sooner rather than later, those codes and standards will likely be informed by the findings and recommendations of this and similar papers.
Owing to copyright restrictions upon pre-publication intellectual property we are only able to provide some of the results of the research, summarized below. We are happy to drill down into greater detail during our monthly laboratory safety standards teleconferences. See our CALENDAR for the next online meeting; open to everyone.
We collaborate closely with the IEEE Education & Healthcare Facilities Committee which meets 4 times monthly in European and American time zones. Risk managers, electrical safety inspectors, facility managers and others are welcomed to click into those teleconferences also. We expect that concepts and recommendations this paper will find their way into future revisions of US and international electrical safety codes and standards. There is nothing stopping education facility managers from applying the findings immediately.
The effective enterprise cost of forced power and/or ICT outages at large research universities run on the order of $100,000 to $1,000,000 per minute.
2019-PSPC-0245
Enhancing Reliability of Power Systems through IIoT
Ashok Prajapati ashokkp@ieee.org
Robert Arno rarno@northpointdefense.com
Neal Dowling dowling@mtechnology.net
William Moylan w.j.moylan@ieee.org
Abstract. This article presents an idea of achieving reliability through Industrial Internet of Things (IIoT) for industrial power systems. It proposes hybrid approach for predictive and corrective maintenance. It discusses the self-corrective maintenance (SCM) paradigm as hybrid approach for industrial power systems along with condition-based maintenance approach utilizing IIoT to achieve it. As it is well known that industries pay huge penalty for the down time, and suffer to meet reliability demands for years. Study witnesses its cost in millions of dollars yearly for production disruptions. It can be prevented by proactively following the aggressive maintenance schedule. However, it often becomes expensive as part or service may not be utilized for its full life and failure may occur even in middle of maintenance cycle. On the other hand, condition-based maintenance (CBM) helps utilize the full life and prevents the downtime by
predicting the failures ahead. This article reviews current maintenance practices followed by industry leaders and a proposal on self-corrective maintenance based on condition of restorable resources. It is about learning the condition of subsystems by itself and taking corrective action when subsystem is not active. This concept helps reduce manual intervention to correct the problem as well as the maintenance cost. This research also covers the self uncorrectable issues to be handled by proactively following CBM process through IIoT. This hybrid proposal could be a significant gear shift in maintenance direction for general industry as well as power systems. It can be termed as industry’s 5th revolution or Industry 5.0.
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I. INTRODUCTION
II. MAINTENANCE STRATEGIES
III. CASE STUDY(IES) | Lincoln Electric, Schneider Electric, ABB, MOTOMAN, FANUC, SAP, IBM, Duke Energy, National Instrument
IV. FUTURE DIRECTION
Conclusion. In this article, we presented various case studies how manufacturers follow maintenance practices and widely used solutions by industry leaders in various domains. It also discusses industry-wide third-party solutions available in the market. However, many available solutions involve manual assistance to perform the maintenance operations after error condition detection. Manual maintenance incurs significant maintenance cost. Future direction is presented for reducing manual maintenance to reduce cost even further. With given infrastructure, maintenance can be automated to a certain degree to reduce maintenance cost and it is the future. This paradigm is termed as “Self-Corrective Maintenance”. SCM is a 4th dimension Of intelligent maintenance. Hence, reliability of power systems can be enhanced manifold utilizing hybrid self corrective maintenance process (Hybrid-SCM). Hybrid-SCM can be part of 5th industrial revolution i.e. Industry 5.0.
Issue: [19-130]
Category: Electrical, Facility Asset Management, Fire Safety, International
Colleagues: Mike Anthony, Robert G. Arno, Neal Dowling, Jim Harvey, William Moylan, Ashok Prajapati
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To order this paper:
IEEE Catalog Number: CFP19CPS-ART (Xplore)
ISBN: 978-1-5386-7551-9 2158-4907 (Xplore)
IEEE Catalog Number: CFP19CPS-USB (USB)
ISBN: 978-1-5386-7550-2 (USB)
Online ISSN: 2158-4907
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