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

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Virtual Sensor- A Technology Marvel

The power of Gas turbines is unmatched! The rotating compressor and rotor running at 14 RPM, is a key component for efficient power generation.

Flawless Functioning of Components with enhanced safety and efficiency, A Challenge? A daunting task for gas turbine engineers!

The small but mighty strain sensors in rotary elements play a critical role in measuring strain and detecting potential issues

A massive expenditure to maintain and test the machines. Losing just one sensor can cost millions and set back testing for an entire year with significant data loss.

Introducing Virtual Sensors for multi-sensor failure prediction in jet engines, potentially saving the industry billions and countless hours of maintenance and testing

Maximizing Oil Pump Performance with

Digital Twin Technology

Real-time monitoring of the pump’s operation, allowing for the identification of potential issues before they become critical

Process Monitoring

Monitoring of pump by comparing the flow rate from actual pump and Digital twin and raise alarm if it deviate from normal value.

Designing of pump

Combination of mathematical and ML techniques helps to simulate working of pump with new design

Degradation Monitoring

Over long run Digital twin can monitor the degradation and raise alarm if the performance degrade below predefined value

Pump data simulation

Simulation of pump flow to evaluate the impact of changes to the pump's design at normal conditions

Simulation of Extreme Conditions

Investigation of pump under extreme operating conditions with the availability of sufficient data

Diagnostics and Prognostics

Availability of data from pump and other systems in the engine can enable the digital twin for diagnostics and prognostics analysis

Enhancing Turbojet Efficiency with Virtual Sensor Technology

Data Acquisition System records the strain signals from turbojet engines . The raw data from the sensors used in the engine may contain discrepancies in its sampling rate.  This is cleaned using statistical methods such as limit check, interquartile range, detection of point anomalies and redundant sensors and their removal. IVA’s virtual sensor tool acts as a pipeline of data pre-processing Machine learning algorithms are introduced to detect and predict failed sensor values. When a sensor fails, IVA’s tool gets activated and predicts the failed sensor values. This method can efficiently detect and isolate single or multiple sensor failures within this dynamic environment.

Reliable Data Starts with Validated Sensors

Our team of experts utilizes the latest methods to validate sensor performance in real-world conditions and provide assurance in the data they generate. As a manufacturer or end-user, our validation services offer a guarantee of the quality and dependability of your sensor systems. We understand the importance of reliable sensor data for a wide range of applications, including automotive, industrial, medical, and aerospace. Therefore, we provide comprehensive validation services that cover all aspects of sensor technology, from the initial design to final testing. Our validation process includes thorough testing of the sensors under various environmental conditions, analyzing the generated data, and providing feedback on sensor performance and accuracy.

Revving up jet engine performance by handling high frequency synchronization challenges

Accurate and reliable data synchronization is crucial for ensuring the safety of jet engines. By leveraging machine learning, potential issues and anomalies can be detected in real-time, enabling preventive measures to be taken to avoid catastrophic failures. This can automate the data synchronization process, reducing the time and effort required for manual synchronization, and improving the efficiency of jet engines.

Unparalleled insights into your engine's performance through expert interpretation of waterfall diagrams

Advanced analysis of correlation maps  among different runs can be performed using image processing techniques. Interpreting waterfall diagrams created from engine strain data using deep learning involves using neural networks to analyze the complex patterns and relationships within the data. Deep learning algorithms can be trained on large datasets of waterfall diagrams to recognize specific patterns or anomalies that may be indicative of faults or performance issues within the engine.

Detect and diagnose resonating frequencies with accurate order mapping analysis

Detection of resonating frequency using order mapping involves analyzing vibration signals from jet engines, to identify the specific frequency at which the system is resonating. This is done by mapping the signals onto orders or multiples of the fundamental rotational frequency of the engine and then identifying the specific order in which the resonance is occurring.

 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.

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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.