Unleashing the Power of Sensor Data Analytics in the Aerospace and Defence Industry

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Virtual Sensors in Aero Gas Turbines

A Technology Marvel

Introducing Virtual Sensors to preclude multi-sensor prediction and its failure in jet engines, potentially saves the industry billions in life-cycle costs.

Health Monitoring of Oil Pump with

Digital Twin Technology

Real-time monitoring of the pump’s operation, allowing for the identification of potential issues on time

Performance Monitoring

Online monitoring of pump performance by comparing the actual pump and Digital Twin evaluates its degradation in performance overtime

Diagnostics and Prognostics

Oil pumps being a crucial element in engine operations, its digital twin can aid in the diagnostics and prognostics analysis of overall engine health.

Performance evaluation-Simulation of Extreme Operating Conditions

Evaluation of pump performance under extreme operating conditions with digital twin simulation saves time and huge investments in expensive testing.

Reduction of sensors using Virtual Sensor Technology

Virtual sensors can be developed to have the ability to comprehend the connections, between sets of sensor data and the specific measurements they aim to calculate through machine learning techniques. This approach combined with physics models reduces the need for a large number of sensors, since after training the algorithms can accurately estimate real time values of physical quantities solely by utilizing data from the actual sensors installed on the engine. This technique is useful in predicting measurements of hostile environment where sensor mortality rates are high using sensors placed at ‘safe’ zone. This is very valuable and saves in life cycle costs.

Virtual sensors in hostile environments

Virtual sensors have the potential to revolutionize the way that turbojet engines or any equipment which has parameters to be measured in hostile environment for optimum performance, are fine-tuned to provide optimum performance in real-time, monitored, and maintained. By providing accurate and reliable measurements of the key parameters of a turbojet engine in a hostile environment like Combustion chamber temperature profile, Turbine and Compressor blade stress, Oil pressure etc. Virtual sensors can help to improve engine performance, reliability, safety, and fuel efficiency.

Reduce life cycle costs

A potential solution to lower the lifetime expenses of aircraft engines is virtual sensors. Virtual sensors have the potential to significantly increase the financial performance of airlines and other operators of aero engines by optimizing engine performance, lowering maintenance costs, prolonging engine life, and decreasing downtime.

Reliability

Virtual sensors are an invaluable tool for enhancing the reliability of aero engines because of their many advantages, including reduced/Nil failure rates,  resilience to harsh environments, scalability, adaptability, and the ability to monitor key components, compensate for sensor drift, and anticipate future issues.

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The Indian Defence Research Development Organization, one of our principal clients, and IVA have been collaborating closely to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning

IVA is a business that specializes in providing engineering software solutions and services that assist in the automation of industries through the use of Digital Twin technology, which produces virtual replicas of physical systems. Digitalization also places an emphasis on helping businesses with the integration, aggregation, and analysis of enormous amounts of data from numerous sources, including industrial IoT sensors.

Our team's primary areas of expertise are machine learning and signal processing, and the study is focused on creating an entirely automatic data analysis system. One of the essential things that set us apart from the competition is our great R&D team, which has experienced fellows in the field and expertise in signal processing, pattern recognition, and computer vision. IVA has strong partnerships with prestigious universities like the Indian Institute of Technology to maintain its technological edge and domain expertise. These partnerships enable IVA to handle high-frequency data competently using ensemble modeling, no-code hyperparameter tuning, and domain expertise in aviation gas turbine engine systems and subsystems.

The Indian Defence Research Development Organization, one of our principal clients, and IVA have been collaborating closely to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning.

We appreciate our own no-code interactive platform, DataCivet, which enables rapid ML pipeline development with signal processing and machine learning toolbox support. DataCivet enables us to assist our clients in the development of digital twins for process automation and diagnostic and prognostic analysis. IVA's virtual sensor is an out-of-the-box solution for addressing many sensor failure issues in industries including aerospace, oil, gas, etc.

Partnerships

We have a close collaboration with the Indian Defense Research Development Organization, one of our principal clients, to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning.

IVA is a business that specializes in providing engineering software solutions and services that assist in the automation of industries through the use of Digital Twin technology, which produces virtual replicas of physical systems. Digitalization also places an emphasis on helping businesses with the integration, aggregation, and analysis of enormous amounts of data from numerous sources, including industrial IoT sensors.

Our team's primary areas of expertise are machine learning and signal processing, and the study is focused on creating an entirely automatic data analysis system. One of the essential things that set us apart from the competition is our great R&D team, which has experienced fellows in the field and expertise in signal processing, pattern recognition, and computer vision. IVA has strong partnerships with prestigious universities like the Indian Institute of Technology to maintain its technological edge and domain expertise. These partnerships enable IVA to handle high-frequency data competently using ensemble modeling, no-code hyperparameter tuning, and domain expertise in aviation gas turbine engine systems and subsystems.

The Indian Defence Research Development Organization, one of our principal clients, and IVA have been collaborating closely to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning.

We appreciate our own no-code interactive platform, DataCivet, which enables rapid ML pipeline development with signal processing and machine learning toolbox support. DataCivet enables us to assist our clients in the development of digital twins for process automation and diagnostic and prognostic analysis. IVA's virtual sensor is an out-of-the-box solution for addressing many sensor failure issues in industries including aerospace, oil, gas, etc.

Who are we ?

IVA is a data analytics research firm that provides industrial digitalization products, integration, and support services to the aeronautics, aerospace, and defense industries, as well as predictive analytics tools and strategic insights for informed decision-making and innovation. We specialize in helping businesses with the integration, aggregation, and analysis of enormous amounts of data from various sources, including industrial IoT sensors

Expertise

We specialize in machine learning and signal processing, with a focus on creating a fully automatic data analysis system. They have an experienced R&D team with expertise in signal processing, pattern recognition, and computer vision. IVA has established strong partnerships with prestigious universities like the Indian Institute of Technology to maintain their technological edge and domain expertise

Solutions

We create digital twins using their automation solutions and Digital Twin technology, utilizing their expertise in machine learning, signal processing, and domain expertise in aviation gas turbine engine systems and subsystems. We use ensemble modeling, no-code hyperparameter tuning, and domain expertise to handle high-frequency data competently. Our solutions assist clients in developing digital twins for process automation and diagnostic and prognostic analysis

Partnerships

We have a close collaboration with the Indian Defense Research Development Organization, one of our principal clients, to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning

Products

We have developed our own no-code interactive platform, DataCivet, which enables rapid ML pipeline development with signal processing and machine learning toolbox support. DataCivet enables us to assist our clients in the development of digital twins for process automation and diagnostic and prognostic analysis. IVA's virtual sensor is an out-of-the-box solution for addressing many sensor failure issues in industries, including aerospace, oil and gas, etc.