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condition-monitoring-of-hydraulic-systems
Monitoring Internal Pump Leakage
hydraulic_breakages_classfication
The dataset was obtained through a hydraulic test rig,the system has 17 sensors which can keep track records over every cycle.In the project,our job was to extract valuable information from the data, and build predictive machine learning models to help us to predict specific target variable -Internal pump leakage.Objective of this project is to achieve a better prediction accuracy for internal pump leak,by doing so we are able to better gauge when to replace the pump.In the long run it will also help us save money since we're replacing the pumps just before the leak is predicted to occur.
Condition-Monitoring-in-Hydraulic-System
Given sensor readings of 17 sensors used by the hydraulic test rig that quantify the machine’s health, the objective is to present classification-based methods for inferring condition variables such as cooler condition, internal pump leakage and hydraulic accumulator from the sensor data streams.
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