Global Technology Connection Inc. provides services in the technological areas of
Modeling & Simulation
Researchers at GTC have expertise in modeling and simulation of engineering system to build physics, data-driven, and hybrid models to enhance the decision process to reduce costs, increase productivity, and add automation. Our researchers utilize state of the art modeling and simulation techniques like model-based systems engineering (MBSE), digital twins, deep learning, hybrid modeling, and surrogate modeling to create high fidelity algorithms. These products make system decisions with high confidence to improve productivity and reduce costs.
- Eliminate the need for expensive experiments & prototypes
- Perform rapid validation, control, and design optimization
Data Analytics & Machine Learning
Our team of data scientists and machine learning experts have utilized traditional and advanced machine learning algorithms to solve complex engineering challenges. Some of our recent related projects include automated optimization of control settings for a space habitat and differentiating nuclear blasts from earthquakes using seismic signals. In addition, GTC has partnerships with research institutes developing state of art machine learning techniques like transfer learning, reinforcement learning, adversarial networks, etc for image and video processing, object identification, segmentation, etc.
- Identify complex patterns in large datasets for better decision making
- Automating complex tasks like classification of images, signals, etc.
Remote Sensing, Automation & Control
GTC has expertise in automation for advanced control of systems using feedback, data collection, signal processing, etc. Analytical algorithm strategies include predictive model control, multi-objective optimization, and Lebesgue sample, where computational resources are limited. Data-driven control strategies are used when physical models do not capture a complex system and include deep learning, ensemble methods, and support vector machines. We deploy edge and cloud computing solutions for remote sensing and control. Our technology allows for advanced control algorithms to be integrated into legacy PLC controls via an ethernet connection or Modbus.
- Increased productivity and quality of products
- Reduced labor costs and expenses.
Machinery Prognostics & Health Management
Prognostics and Health Management (PHM) involves monitoring and predicting the extent of degradation of a system in order to make decisions related to maintenance activities over the system’s life-cycle. PHM leads to condition-based/ predictive maintenance which includes performing service or maintenance activities on equipment according to degradation level or equipment condition as monitored/predicted by model-based or other types of predictive tools. PHM promises cost reductions by introducing system condition-based operations rather than time-based regular maintenance activities. We have developed predictive tools to determine remaining useful life, degradation level using both physics-based models as well as data-driven methods of water processing systems, chiller systems, lithium-ion batteries, aircraft fuel systems, etc.
- Increased equipment uptime, asset life, and reduced maintenance costs
- Reduced risk of failure/unplanned downtime, need for fewer replacements
Additive Manufacturing & Composite Materials
GTC along with its partner research institutions engages in research and development of novel techniques to fabricate composite materials and to evaluate the integrity of additively manufactured parts. GTC is currently developing a short-fiber carbon composite material with higher strength by increasing fiber density by uniformly dispersing and aligning the fibers using electric fields.
- Superior strength and lighter composite materials
- Non-destructive testing of additively manufactured parts.
Failure Prevention & Analysis Investigations
GTC has investigated and conducted analysis on 350+ machinery and material failures that include lift trucks, electrical failures, construction defects, automotive bumpers, airplane and engine component failures, automotive axle, weld joints, aluminum, titanium, polymers, ceramics and composite materials, Life assessment and durability of prototype components, etc. GTC also provides services in Finite Element Analysis (FEA) for engineering analysis such as Mechanics, Structural Analysis, heat transfer, fluid dynamics, etc.
Some of the industries and clients that GTC serves include:
- Aerospace, automotive and transportation
- Manufacturing, semiconductors and electronic materials
GTC along with its partner research institutions engages in research and development of novel techniques to improve cybersecurity of automobiles, manufacturing equipment like CNC machines, etc. by utilizing energy auditing, device fingerprinting, and machine learning algorithms. Using these techniques, anomalies due to sensor faults, component faults, intrusions, adverse operational conditions, etc. can be detected rapidly and with high accuracy.
- Prevent cyber-physical failures in cars like remote hacking and control
- Detect component failure quickly to prevent expense machine failures