Cartesiam Use Case: Energy efficiency dataset

2021-06-29T18:58:09+00:00June 29th, 2021|Categories: Application Software, Cartesiam, Case Study, Featured|

Predict heating and cooling load of a building In this dataset, they simulated 768 different building shapes. They made vary the following attributes: X1 Relative Compactness X2 Surface Area X3 Wall Area X4 Roof Area X5 Overall Height X6 Orientation X7 Glazing Area X8 Glazing Area Distribution Then they performed energy analysis

Cartesiam Use Case: Remaining Useful Life

2021-06-09T17:54:22+00:00June 9th, 2021|Categories: Application Software, Cartesiam, Case Study, Featured|

Predict the remaining useful life based on telemetry This dataset comes from a fleet of a hundred machines. Every 24h, telemetry sends volt, pressure and vibration data. We also have the age and model of the machine, if it has been maintained in the past, or if it reported errors in the last 24h.

Cartesiam Use Case: Smart vacuum cleaner

2021-05-09T22:50:33+00:00May 9th, 2021|Categories: Application Software, Cartesiam, Case Study, Featured|

Detect if your vacuum bag is empty or full (at different regimes) We will use a clamp meter to capture data. A classification library will be created using NanoEdge AI Studio. By measuring the electric current flowing into the vacuum cleaner, we will detect if it is empty or full. The NanoEge AI

Cartesiam Use Case: Stator Yoke Temperature

2021-03-30T16:01:18+00:00March 30th, 2021|Categories: Application Software, Cartesiam, Case Study, Featured|

Predict the stator temperature of an electric car with a thermal sensor The data comes from a permanent magnet synchronous motor on a test bench. The PMSM represents an electric car prototype and multiple sensors are present on the bench.Multiple driving cycles were performed, randomly varying speed and torque to imitate real world driving.The

Cartesiam Use Case: Hole drilling deviation

2021-03-08T23:55:13+00:00March 8th, 2021|Categories: Application Software, Cartesiam, Case Study, Featured|

Predict if your drill bit departed from a pre-selected trajectory Deviation from the pre-selected path can be a huge problem for oil drilling operations, from higher cost to legal issues. The causes of hole deviation is complex and depend on multiple factors. To try to predict such deviation, we will be using well logs.

Fan Anomaly Detection with Cartesiam.ai

2021-02-18T21:36:33+00:00February 18th, 2021|Categories: Application Software, Cartesiam, Featured, Microchip, Tutorial|

This tutorial will guide you through the process of building a vibrational anomaly detector using NanoEdge AI Studio and deploying it to the SAMD21 development board. You'll be capturing accelerometer data using the IMU2 Click board and using NanoEdge AI Studio to train a library that can model the nominal behavior of the USB case

Cartesiam Use Case: Aging and normal wear of machinery

2021-02-02T20:15:55+00:00November 18th, 2020|Categories: Application Software, Cartesiam, Case Study, Featured|

Make equipment AI smart - Easily, quickly, affordably Product: Any instrument such as mechanical equipment, gearing, ATM, circuit breaker, pump… Problem: The aging of machines is virtually impossible to anticipate, leading to costly production stoppages. Solution: NanoEdge AI is loaded into an MCU controlling the mechanism to learn normal patterns of the

Video: Cartesiam NanoEdge AI on Motor Control

2020-10-22T22:53:51+00:00October 22nd, 2020|Categories: Application Software, Cartesiam, Featured, Video|

Learn and infer dynamically inside any arm Cortex-M MCU NanoEdge™ AI Studio will easily let you create a machine learning static library to embed your main program running on any ARM© Cortex© M microcontroller. When embedded in microcontrollers, it gives them the ability to locally

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