Case Studies
Find insightful case studies written by the staff at Avathon.
Case Study: Predict Rare Failures in Hydro Turbines
Utility companies that operate hydro turbines have a vested interest in performing regular maintenance to decrease asset downtime and prevent unexpected failures or catastrophic events. In this case study, learn how one leading hydropower utility company applied machine learning to better analyze problematic turbine behavior and predict uncommon failures.
Case Study: Identifying Yaw Misalignment
Learn how Avathon’s AI platform detects performance-impacting yaw misalignments with high accuracy—and faster than traditional methods. Discover why our machine learning-based solution is not only a much faster method, but a more accurate one.
Case Study: Accurately Accounting Energy Loss
Maximize the value of operation and management contracts with improved monitoring of energy losses. Learn how one company learned to identify sources of their energy loss and implemented a system that conducts maintenance steps with the highest ROI.
Case Study: Optimizing Production Via AI-powered Transparency
In this case study, learn how a global beverage manufacturer improved plant efficiency across multiple locations with quantified granular performance insights.
Case Study: Predicting ESP Failures with Variable Data Quality
Predict electric submersible pump (ESP) failures to decrease well downtime, reduce costly maintenance, and increase production. Learn how one major oil and gas company used normal behavior modeling (NBM) to identify unhealthy pump assets, identified 5 of 7 historical ESP failures with 13-35 days advance notice (potential savings of $1.35M in deferred production), and employed sensor data cluster analysis to classify potential ESP failures.
Case Study: Identifying Non-Productive Time on Oil Rigs
Learn how a leading contract manufacturer of specialty petrochemicals leveraged our machine learning-based predictive analytics to improve refinery safety and productivity, starting with industrial pumps.
Case Study: Improving Offshore Oil Production with AI
Maximize offshore oil production, increase efficiency, and improve safety by deploying AI-powered predictive analytics. Learn how one company improved annual production by up to $30M per platform, avoided maintenance actions that would have caused two days of deferred production worth at least $10M, and predicted 75% of historical failures with an average of 9 days advance warning.
Case Study: Delivering Real-Time Fire Safety With AI-Powered CCTV
Closed-circuit television (CCTV) cameras have primarily been thought of as security systems, not fire safety systems. But if you combine those same CCTV cameras with leading-edge AI capabilities, you transform them into proactive analytical assets that provide actionable insights and automated alerts to better manage risk, increase worker safety, and improve security.
Case Study: Enhancing Quality Control with Visual AI Inspection
One of India’s leading potato chip producers was discarding up to 7% of its finished product due to defective quality issues. When manual inspection results did not generate the desired quality improvement outcome, they turned to Avathon Visual AI—taking advantage of computer vision-enabled efficiencies that quickly delivered significant quality control gains.
Case Study: Improve Filling Station Performance with Visual AI
Fueling station operators need to maximize their ability to gain insights that lead to satisfactory visits and repeat business. Avathon Visual AI Advisor offers more than 40 use cases for gas stations and convenience stores to improve operations and profitability.
Case Study: Improve Workplace Safety In Manufacturing with Visual AI
Manufacturing plants have to ensure the safety of their workers and promote the proper use of personal protective equipment. Avathon Visual AI offers real-time detection of safety and security issues, allowing corrective action to be taken.