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"Innovative Virtual Sensor Technology 'DataCivet' Marks a New Era in indigenous Aero Engine Development"

During the developmental phase, aero engines typically undergo extensive testing for , optimization, and establishing reliability before they receive approval for operational use in aircraft. In this process, over 1,000 specialized sensors are employed to measure parameters like temperature, pressure, flow, vibration, and strain. These sensors operate at varying frequencies, ranging from 10 records per second to an impressive 54,000 records per second. Test runs vary in duration, from 30 minutes to 7 hours, resulting in a significant volume of data. For instance, a single sensor generates approximately 3 gigabytes of data during a 7-hour run, and when considering about 50 such sensors, the data output is substantial.


This abundant data is meticulously analyzed by engineers for performance assessment and its optimisation along with the monitoring of the engine’s health. By proactively identifying potential issues before they escalate into failures, these sensors contribute significantly to the ongoing evolution of developmental aero engines, continually enhancing their efficiency and reliability.

Since the components in an aero gas turbine works in very demanding environment including extreme temperatures, pressures, high vibrations and high speeds, accelerates sensor degradation and increase the likelihood of sensor failure.

These sensors are generally fitted at inaccessible locations and failure of which during test campaigns can be very costly for the engine development due to loss of valuable data coupled with delays in the sensor replacement which normally calls for complete engine re-builds.

This is where, IVA’s digital twin platform “DataCivet” is giving a novel solution of Virtual Sensors. Their technology involves the use of computational models and algorithms to emulate sensor functionalities without physical sensors. The use of DataCivet, for predictive modeling has shortened the development time of this Machine Learning based system, ‘Virtual Sensor’ by several orders of magnitude. This is done by handling data through customization of DataCivet to predict the sensor values in the event of a sensor failure.

DataCivet stands as a pinnacle in the emulation of sensor functionalities without the need for physical sensors, revolutionizing the approach to aero engine development by being a powerful platform for developing a complete digital twin which is an essential requirement for online integrated vehicle health monitoring indigenously.

DataCivet’s prowess lies in its ability to emulate sensor functionalities, drawing from various technological facets: mathematical models, Data function Technologies, simulation software, machine learning, probabilistic models, and digital twin models with a much shorter development time as against conventional products in the market. These technologies collectively empower the creation of virtual sensors, offering invaluable data for testing, validation, optimization, and decision-making across diverse industries—from defense, aerospace and to industrial sectors including automobiles.

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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.