Predictive analytics automatically analyze data to identify problems. Rules engines can be used to cause automatic actions that help keep the business optimized. Event data can subsequently be loaded into a data warehouse and analysed over time using traditional BI tools to identify recurrent patterns ...
1 Vibration Analysis 2 Infrared Imaging 3 Oil / Lubrication Analysis 4 Ultrasonic 5 And much more...Mario MontagRobert BurgoyneCI Energy Group s North American Pipeline Integrity Forum: Fairmont Palliser, Calgary, AB, April 30 - May 1, 2014...
Big Data implementation for Process Industries is distinctive in that it sets specific requirements for Big Data Infrastructure, Time-Series framework, training algorithms including data analytics, and presenting the results. The core of data learning is Data Analytics which has proven its effectiveness ...
Northeastern University Analytics for Productivity Improvement and Energy SavingsBoston, MA 1. Optimize 69 Buildings 2. Visualize and Trend Critical Equipment 3. 130+ Energy Meters and Consumption Points 4. Optimization of Science Building (Behrakis) 5. Multiple BMS Systems Key Challenge Story · ...
Next Generation Analytics for Continuous Commissioning and Predictive Monitoring- Real Savings Today(PPT)Compressed Air System FDD Examples: 1. Blow-off (bypass) valve is open before the inlet guide vanes (inlet butterfly valve) reach minimum position. 2. Compressor using capacity modulation when it...
Predictive and Preventive Maintenance (PPIVS) Tools and Performance Analytics for Semiconductor Equipment - (PPT)Preventive and Predictive Maintenance (PPM) presents a vision for the future of semiconductor industry that aims at improving equipment availability, productivity and overall equipment effectiveness...
1 Deployed 2.3 million meters in 42 months 2Built and operate a private wireless communication network 3Implemented an Operations Control Center 4Collect 220 million reads per day (15-minute interval usage) 5Transmit usage data daily to a secure web portal and data repository, Smart Meter Texas ...
They revealed that the proposal is more efficient in comparison with other approaches. Keywords: ensemble classifiers; healthcare-associated infections; ICU infections; imbalanced data; machine learning; oversampling; undersampling 1. Introduction Healthcare-associated infections (HAI) are one of the ...
However, intra-locus SNP analysis (as done in this study) is not generally employed to subcategorize mecA geno- types; such analytics appear to be informative, given the importance of specific mecA coding sequence-promotor genotypes in determining susceptibility to certain β-lactam-β- lactamase ...