Thesis Writing: [Engineering] : Predictive Maintenance PM in the aircraft with the partial aspects: big data for PM, data acquisition, processing with intelligent procedures including machine learning

Number of pages: 36 pages (9900 words) 
The topic of your paper: Predictive Maintenance PM in the aircraft with the partial aspects: big data for PM, data acquisition, processing with intelligent procedures including machine learning
Subject: Engineering

Comment:

I need to write this covering the following subjects: Title: Predictive Maintenance PM in the aircraft with the partial aspects: big data for PM, data acquisition, processing with intelligent procedures including machine learning. Short description: What is there, in general, today for maintenance procedures, processes etc. and then on the plane: what is PM etc., ie the arrangement of PM? Economical: What are the numbers for which processes, how can costs be reduced with PM? What is the situation today in the plane? Which data is already recorded today? Is there any information that a B787 generates 500GB of data in a flight? How and where are the data recorded today (sensors etc.), how are they transmitted (which data buses) and what data is transmitted to and from the aircraft? Which are then transferred to the ground? How and where is the data aggregated today? Which data evaluations, agregations etc. are made where today? What are the trends and concepts for future PM processes? It is a Computer Science project with a focus in Data Science and Maschine Learning.

Here is a link to dropbox where i saved some useful information for our thesis which you can read and write on the thesis. Most of them are written in English and very few ones in German.

 

 
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