Rapidly developing technologies are transforming the way major transportation assets are managed. Innovations such as the cloud, cognitive analytics, the industrial internet of things (IIoT), and advanced cybersecurity are showing emergent signs of improving operations of afloat, ashore, subsurface, and aloft transportation assets. In the maritime space, shipowners, operators, technical managers, OEMs of shipboard machinery, and associated regulatory entities are embracing these technologies in order to better understand the overall health of their machinery.
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Predicting Failures in Hydro Turbines: Easy as H2O
From the massive blades spinning on top of hillsides to solar panels decorating rooftops, advances in techn...
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Reimagine Offshore Maintenance with AI
Customer Success Story: Identifying Vane Failure From Combustion Turbine Data
Webinar: Are You Data-Ready for Predictive Maintenance in Energy?
This webinar will educate you to the key data requirements needed for a successful AI predictive analytics project and equip you with ideas on how to improve your data quality. How much data do you ne
Webinar: Are You Data-Ready for Predictive Maintenance in O&G?
O&G companies' projects with machine learning-based predictive analytics will ultimately be driven by data quality, availability, and management. This webinar will expose you to the key data requireme
Case Study: Predicting Rare Failures in Hydro Turbines
Hydropower is a unique resource in that it is both sustainable and highly efficient at converting natural, kinetic energy into electricity. Modern hydro turbines are massive assets, producing...
The Future of Utilities Starts with Connected Power Plants
The Future of Utilities Starts with Connected Power Plants.Energy is everything. This is most obvious when we have to go without it. Unexpected downtime is devastating to utilities companies, but...
Mitsubishi Hitachi Adds SparkCognition AI Technology to Boost Predictive Analytics
SparkCognition, a global artificial intelligence (AI) technology leader, and Mitsubishi Hitachi Power Systems Americas, Inc. (MHPS-Americas) are working together to advance AI applications in MHPS-TOM
Predictive and Prescriptive Maintenance: Why Enterprise Should Know the Difference
We’re often asked by our clients to explain the difference between “predictive” and “prescriptive” analytics. We thought that this simple example could clear up the distinction: Imagine you’re...
A Cognitive Approach to Industrial Safety and Efficiency
SparkPredict enables truly predictive capabilities to deliver millions of dollars in cost savings and operational efficiency improvements to machine operators. This not only provides more time for...
SparkCognition Changing the World by Way of Oil and Gas
The oil and gas industry is one of the largest and most influential branches in the current world economy. It supports over a million jobs globally, stimulates manufacturing in oil...
Predictive Maintenance on Critical Assets: Applying AI to Top Drives
Much of the equipment on an oil and gas rig is redundant. For example, there are typically three mud pumps on a given rig. If a mud pump breaks down,...
Predictive Maintenance on Critical Assets
Predictive Maintenance on Critical Assets. On an oil rig assets range from replaceable to critically important. Predictive maintenance exists to ensure all assets in this range are safe from unplanned
Predicting Failures in Hydro Turbines: Easy as H2O
From the massive blades spinning on top of hillsides to solar panels decorating rooftops, advances in technology are helping to create a cleaner, more sustainable source of energy. Hydropower is...
The New Logbook: Machine Learning for Maritime Data Analytics
With the explosion of new sensors and IoT devices on ships, more data is being generated than ever before, but little of that data is actually being put to good...
Minimize Costs Through Machine Learning
Reprinted with permission from Uptime® Magazine. Machine learning is an approach of exploring and building algorithms that enable computers to continuously learn and adapt. With utilities, unknown...
SparkCognition's Cognitive Predictive Capabilities
Usman Shuja, VP of Market Development, gives an example of how SparkCognition used predictive analytics and AI to decrease downtime and maintenance costs for the best pump and valve manufacturer in th
SparkCognition's SparkPredict - Cognitive Machine Prognostics
SparkPredict is a cognitive engine designed to address machine prognostics. Our technology truly enables predictive capabilities by providing advanced failure notice. Read more: http://bit.ly/2rNCOeW
Standardizing Machine Learning Models
At SparkCognition, we create machine learning models that can predict some amazing things — like forecasting the failure of a gas turbine days ahead of time instead of hours. However,...
How SparkCognition Helped Invenergy Predict Premature Gearbox Failure Using OSI PI Data
Check out how SparkCognition utilizes OSI PI Data to solve premature asset failures and other varying utility problems.
A More Effective Approach to Unsupervised Learning with Time Series Data