PdM 2018: Predictive Maintenance Symposium - 2018 MAYFAIR Lagoon, Bhubaneswar, India Bhubaneswar, India, January 24, 2018 |
Conference website | https://www.arrelic.com/pdm2018/ |
Submission link | https://easychair.org/conferences/?conf=pdm2018 |
Abstract registration deadline | December 31, 2017 |
Submission deadline | January 7, 2018 |
conf@arrelic.com | |
Register | https://www.arrelic.com/pdm2018/pdm-register?id=1 |
PdM Symposium 2018 is the first of its kind in India; is a congregation of experienced industry experts and amalgamation of innovative thoughts accumulated over last few decades on the strengths and gaps of predictive maintenance, a reflection of ever-increasing market growth in instrumentation and integrated plant diagnostics. It will be a technical exchange point of large and diverse sectors of industry those need wide coverage by PdM and will be a knowledge-sharing platform for diagnostic, maintenance engineers.
PdM has been proven to be very cost-effective and energy-efficient, once a reliable PdM system is established in the plant,it will not only help in eliminating catastrophic equipment failures, but also will extend the operational life of machinery and reduce the costs of plant overheads.
In this Symposium, you will interact over 50 industry experts, learn on-going research and development in techniques, the evolution in integrated PdM systems, the strengths and current gaps (that need immediate intervention), the specific exposure in On-Line Monitoring & Diagnostics, the associated Best Practices of recent times from industry experts and finally PdM’s roles in plant’s overall Reliability Programs.
Submission Guidelines
Authors are invited to submit full papers for consideration (maximum 15 slides and pdf format only). Submission of paper must be original and should not have been previously published or under consideration for publication. All papers will be sent for peer review and the corresponding author will be notified of the outcome of the review process. For accepted paper; the author need to mail the presentation to conf@arrelic.com in PPT format before 7th January 2018. At least one of the author of each accepted paper must register for the Symposium and present their paper in person at the #PdMSymposium. All submissions are to be done electronically through the easychair link.
List of Topics
- PdM Strategy
- Condition Based Maintenance Strategy (CBM Strategy)
- Asset Condition Management (ACM)
- Asset Life Assessment (ALA)
- Asset Performance Management (APM)
- PdM Tools & Techniques
- Vibration Analysis
- Infrared Thermography
- Motor Current Signature Analysis
- Oil Analysis
- Laser Alignment
- Dynamic Balancing
- Non Destructive Testing (NDT)
- IIoT & New Technology in PdM
- Machine Analytics
- Predictive Analytics
- IIoT Sensors
- PdM by Automated Drones
- Deep Technology in Predictive maintenance
Publication
PdM 2018 proceedings will be published in Springer. The papers will also be made available in SpringerLink digital library. The papers are submitted for inclusion to the leading indexing services including ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink. After the conference, some good quality papers presented at PdM 2018 will be invited for further extension and resubmission for inclusion in various reputed journals, ArrelicSymposium and ReliabilityQ By Arrelic.
Venue
The conference will be held in Hotel Mayfair Lagoon, Bhubaneswar Odisha, India
Contact
All questions about submissions should be emailed to conf@arrelic.com
About Arrelic
Arrelic is a deep-tech firm aiming to bring the next level of IoT based sensor technology to transform the mode of manufacturing operation and maintenance practice of various industries with extensive expertise in Reliability Engineering, Predictive Maintenance, Industrial Internet of Things (IIoT) Sensors, Machine Learning and Artificial Intelligence. We provide a single ecosystem for catering all industry needs from Consulting to IoT and Analytics as well as providing Training and Development courses for different stakeholders.
We aim to help manufacturing industries to improve their overall plant productivity, reliability and minimize total production cost by 25-30% by eliminating machine downtime, lightening management decisions by analysing the machine data with right mind and expertise; for a worry free operation. For more information, visit our company's website (www.arrelic.com)
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