This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-attacks) in SCADA water infrastructure.

Collection of code for mechanical engineering problems

GNU Gluco Control (GGC) is diabetes management application. It helps managing user's daily data, food data. It has graphs, statistics, reports, and a lot of diabetes devices support (meters, pumps, CGMSs). It works on any platform supporting at least Java 8 (1.8). We supports 3 languages, more can be added via Crowdin.

Tool for calculating correction factors based on viscosity in centrifugal pumps

Qmix pump and valve interface

The program integrates two sensors and pumps, namely a water pressure sensor and a flow sensor. The flow rate and pressure can be read through a personal computer, and the pump speed percentage (PWM) can be set through the serial port.

Predicting really rare positives - a notebook on the pump_sensor data from kaggle. Including both simple indicator based approaches as well as machine learning.

Berlin's public water pumps on a voronoi map

Raspberry pi powered plant watering system

VBA Pump Performance is a set of tools to help engineers and technicians to asses the condition of an API 610 pump during its Performance and Mechanical Running Test trials.

Python scipy curve_fit wrapper that fits a range of polynomic functions and returns the best fit.

Core library for calculating correction factors based on viscosity in centrifugal pumps. See ViscoCorrect for an implementation.

New Era Pump controller program for flowing salt buffers to C. elegans