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Step-by-Step Guide: Using MATLAB for Deep Learning in Sound Analysis for Fault Detection

This step-by-step guide explores how to leverage MATLAB and deep learning to detect audible faults in machinery.
Fault Detection Using Deep Learning in MATLAB

Optimize the fault detection process with deep learning in MATLAB. Explore CNNs, RNNs, and advanced tips for precision and reliability.
Advancement in the Sky: A MATLAB-fueled Innovation in Rocket Development by BME Suborbitals

BME Suborbitals, a rocket development competition team from BME, leverages MATLAB to tackle aerospace challenges. From simulating radax joints to optimizing propulsion systems, discover how MATLAB enhances efficiency and accuracy in rocket development.
Machine Learning for Space Missions: A Game Changer for Vision-Based Sensing

Explore the white paper by Ossi Saarela, MathWorks’ Space Segment Manager, about the impact of vision-based sensing and machine learning on space missions. Delve into topics such as traditional development, accelerated development with MATLAB and Simulink, machine learning’s transformative role, and the future of space-rated hardware.
Reduced Order Modeling Based on Neural Networks

Learn about Reduced Order Modeling (ROM), how it can be used to solve problems quickly and maximize your time and effort, and how you can create a reduced order model based on Neural Networks in MATLAB
AI: Driving the Industry Towards Greater Success

Artificial intelligence (AI) is seen as a promising technology that can help leading OEMs to maintain their position as market leaders. In this post, read about how AI is changing the manufacturing sector, as well as its potential advantages and potential drawbacks.
Quantization Noise: What Is It, And Why Should You Care?

Explore the world of quantization noise and its significance in this blog. Learn how to handle finite word-length arithmetic with fixed- and floating-point approaches.
Key MATLAB and Simulink Capabilities for Aerospace and Defense

Explore MATLAB and Simulink capabilities that can help aerospace and defense organizations with control systems, system design, and physical modeling.
MATLAB and Simulink for Artificial Intelligence

Learn about MATLAB and Simulink’s capabilities for creating AI-driven products and services, including the benefits of using these platforms, key components of the AI workflow, and the integration of AI models into real-world applications.
Excitation Signals for Identification of Dynamic Systems

Learn about optimizing multisine signals for precise frequency-domain system identification. Discover the importance of low Crest Factor (CF) in excitation signals and explore techniques to enhance signal-to-noise ratios (SNR) for improved measurement accuracy.