When considering the future of production in the era of Industry 4.0, there is a truism that applies to any revolution: It is much easier to recognize when it starts than to predict how it will end. Within the hype zone of digitalization, the topic of federated manufacturing has, thus far, gained relatively little attention.
Los Altos, CA [May 14, 2019] - SymphonyAI Group announced today its recent acquisition of Azima Global, a provider of machine condition monitoring and asset reliability solutions across several industrial verticals.
The Industrial Internet Consortium announced it will present the Smart Manufacturing Forum on May 23, 2019, in partnership with two Science Foundation Ireland (SFI) Research Centres Confirm and I-Form. The forum will be hosted by IIC member, Cork Institute of Technology (CIT) at their Cork, Ireland campus and Reliabilityweb.com CEO Terrence O'Hanlon will participate with Global Relationship Leader Maura Abad.
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Curious how to get started with machine learning and prescriptive analytics? You‚'ll learn tips and tricks to get started and common pitfalls to avoid. Join us for this must-see session!
This presentation will cut through the hype and dive deep into the exponential growth rate of Artificial Intelligence using real implementations and use cases.
In this session, Leprino Foods will share how they were able to get started with IoT with 3 use cases that demonstrated the low cost, fast ROI that could lead to potential savings over $1M. Presenters will explain the details of the sensors and tools used and how the results were directly linked to their CMMS (MAXIMO).
This presentation covers how Duke Energy's Monitoring & Diagnostic Center utilizes over 11,000 Advanced Pattern Recognition and Predictive Analytics software models to monitor the condition of over 40,000 MW (87%) of their power generation fleet.
This presentation will explore the application of Large Data Analytics through the three types of vibration data collection; periodic data collection, semi continuous data collection and continuously acquired data.
Barrick Gold's Cortez Process Division (hereafter‚ Cortez) has recently positioned themselves as a leader in predictive maintenance and digital transformation. Earlier this year, Cortez implemented the Asset Reliability & Optimization (ARO) System from Petasense to improve their asset reliability and overall uptime.
Today, maintenance professionals can work in a realistic 3D visualization environment, set up quickly with reality modeling software to create 3D models of your assets from photographs you take of your assets. Wouldn’t your job of maintenance be easier if you could see the assets in 3D to plan and understand the context within which the asset was designed, built, and operated? Now you can work in an immersive 3D environment for asset inspections and health monitoring, reliability and maintenance planning as well as work execution. Other benefits include simplifying training for young maintenance professionals and simplified and more understandable standard procedures. Discover the benefits when you can pinpoint locations and understand the geo-coordinates of the asset and know specifically where you need to inspect and/ or address an issue.
IMC-2017 Learning Session (41 Minutes) by Jason Mann, Wi-Tronix LLC
Today’s high value mobile assets such as locomotives and work boats are constantly generating large amounts of data. Wi-Nostix interprets and analyzes this data along with inserting a human element. The Wi-Nostix Service bridges the gap from Big Data to provide actionable mobile asset specific repair and troubleshooting recommendations. The mission of the Wi-Nostix Service is to provide best in class proactive prognostic asset monitoring services and repair recommendations for multiple OEM providers of engines, locomotives and marine equipment using the latest developments in statistical modeling algorithms and technician experience. We design our applications to meet the specific needs of our customers.
Industrial Internet of Things (IIoT) predictive maintenance is firmly on the radar of most executives. At the same time, there are serious concerns about the lack of internal resources to analyze, visualize and interpret the big data generated by industrial machines. This article proposes an alternative: Implementing a big data predictive analytics solution without hiring a big data scientist.
For decades, supervisory control and data acquisition (SCADA) has been the industry standard for asset management. But, the sizable investments in digital twin concept offerings on the part of two leading digital industrial companies have generated much discussion about the long-term viability of SCADA. Gartner’s recent forecast that digital twin will be one of the top 10 strategic technology trends for 2017 is one of several reports that point to momentum in this category.
In maintenance, a big challenge is how to put different concepts and theories into practice, especially when you must also change the mind-set of your workforce and introduce a new way of thinking.
Bentley Systems is the leading global provider of software solutions to engineers, architects, geospatial professionals, constructors, and owner-operators for the design, construction, and operations of infrastructure.
At the CeBIT and CED Tech Venture conferences last year, the Internet of Things (IoT) was surely one of the hottest topics discussed. Wearable gadgets are monitoring our fitness activities, home doors are recognizing our touch to let us in, and consumer shopping patterns are monitored and processed using beacon technologies. These are just a few examples of those dreams we once had coming true today.