Analyze, clean and transform industrial time series: from discovery to virtual sensors creation to maximize data utilization

The industry is moving towards more advanced utilization of data from industrial equipment. This data, often in the form of complex time series, requires careful preparation and/or thorough exploration by domain experts. When industrial users embark on analyzing their data to solve a specific problem (such as detecting specific failures, anticipating machine downtime, etc.), they […]

Scientific publication – Sensor fault detection using machine learning applied on acoustic test bench

Sensor fault detection using machine learning applied on acoustic test bench

Article written by Thibaut Le Magueresse, data-scientist at Amiral Technologies, Jérémie Derré and Florent Mercat, Airbus Operations – Acoustics Testing Team Introduction This paper presents a study of sensor fault detection from an acoustic test bench, performed by machine learning. The concerned rig is based on the modal generation and detection principle, aiming at characterizing […]

The importance of time series in the industrial sector

Série temporelle industrielle

Industry 4.0 sets a major revolution in the modern industrial landscape. This new era is characterized by the integration of connected digital technologies within manufacturing processes, commonly referred to as the Industrial Internet of Things (IIoT). IIoT brings a new dimension of efficiency, flexibility and innovation to industry, paving the way for more efficient production […]

What are the 3 types of industrial maintenance?

Focus on types of industrial maintenance In this article, we will discuss the different types of industrial maintenance used in a production chain. What are the different types of industrial maintenance? Today, in Industry 4.0, challenges are multiplying, particularly regarding equipment safety and maintenance. In this context, production sites must find quick and efficient solutions […]