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Understanding Predictive Maintenance — Data Acquisition and Signal Denoising
Article purpose I want to start a series of articles to give you hands-on experience in predictive maintenance and make it easy for you to get into signal processing. In this article, we’ll concentrat...
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Yet Another Predictive Maintenance Article -2
In part-1, I discussed about basics of Predictive Maintenance (pdM) and overview of the procedure for building pdM systems. This article contains the steps for implementing the pdM system along with…
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Predictive Maintenance By Using Machine Learni
Predictive maintenance is an emerging field especially in automotive industry. Telling customers or operator beforehand , when that particular machine needs to be changed brings a lot of convenience…
Read more at Analytics VidhyaData-Driven Predictive Maintenance In a Nutshell
For complex systems such as airplanes, railways, power plants, maintenance is a big issue as it ensures the systems’ reliability and safety during their life cycles. By tapping the power of advanced…
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A simple and interpretable baseline for predictive maintenance
A while ago I have encountered a predictive maintenance problem on my data science job. Highly unbalanced classes (since the number of breakages is typically less than 1%), huge number of…
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Data Analytics for Industrial Applications: Part I, A History of Predictive Maintenance
Maintenance philosophies can be classified into two categories, these are reactive and proactive maintenance. As the name indicates, reactive maintenance is unplanned, it is simply taking corrective…
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Data Analytics for Industrial Applications: Part II, How AI Predicts Wind Turbine Component…
In Part One of our Predictive Maintenance series we talked about philosophies and the history of maintenance (Click here for Part 1). The second part of the series focuses on wind turbines in…
Read more at Analytics VidhyaHow to Implement Machine Learning For Predictive Maintenance
As Industry 4.0 continues to generate media attention, many companies are struggling with the realities of AI implementation. Indeed, the benefits of predictive maintenance such as helping determine…
Read more at Towards Data ScienceTime series analysis for predictive maintenance of turbofan engines
Creating stationary data for time series analysis, fixing multicolinearity and using distributed lag models to predict remaining useful life (RUL) on FD001
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Condition-based Maintenance: Rainflow Counting
Analyzing thermal cycles for Remaining Useful Lifetime predictions Image by Author using this tool under CreativeML Open RAIL-M license. Introduction In today’s data-driven world, businesses are incr...
Read more at Towards Data SciencePredictive Maintenance: detect Faults from Sensors with CRNN and Spectrograms
Predictive Maintenance is an active field of research in every area. Especially in recent years, a great boom is registered in Machine Learning solutions. Some business invests a great amount of…
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Learning Data Science: Predictive Maintenance with Decision Trees
Predictive Maintenance is one of the big revolutions happening across all major industries right now. Instead of changing parts regularly or even only after they failed it uses Machine Learning method...
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Predictive Maintenance: This Is How Machine Learning /AI can transform Manufacturing Industry —…
Maintenance represents a significant part of all Manufacturing operation’s expenses. Hence Predictive Maintenance has become important part of overall business strategy — which would help client…
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Predictive maintenance — 5minutes demo of an end to end machine learning project
Remaining useful life (RUL) refers to the the remaining life time when a system can continue to operate normally after working generally for a period of time. With RUL, engineers can schedule…
Read more at Towards Data ScienceWater Pumps maintenance prediction : data-science illustrated
While data analysis is quite an “old” topic there is no doubt that it is the recent wave of digitization that made it a “hot” topic. The pressing need to predict web-page clicks and online frauds did…...
Read more at Towards Data ScienceUnderstanding Predictive Maintenance — Unit Roots and Stationarity
Article Purpose In this article, we’re diving into the critical concepts of unit roots and stationarity. Buckle up for an exploration into why checking stationarity is crucial, what unit roots are, an...
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Predictive Maintenance: Machine Learning vs Rule Based Algorithms
While basic predictive maintenance concepts are discussed in various articles, there is actually little to find when it comes to selecting the best approach on predicting an error. In this article we…...
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Better predictive maintenance using ANN
Predictive maintenance using data science like neural networks or machine learning in oil and gas industry can decrease downtime and increase return on equipment or assets.
Read more at Towards Data ScienceThe importance of problem framing for supervised predictive maintenance solutions
We'll re-examine our assumption of Remaining Useful Life (RUL) to improve our accuracy and fit a Support Vector Regression (SVR)…
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Predicting Machine Maintenance using Machine Learning
We know that machine learning is very complicated for beginners. We don’t know what types of models should we use for analyzing data. In this article, we are going to use the dataset ‘machine…
Read more at Analytics VidhyaPredictive maintenance of turbofan engines
In a series of posts, I plan to showcase and explain multiple predictive maintenance analysis techniques on NASAs CMAPSS turbofan dataset, while also offering a solution for the more complex...
Read more at Towards Data ScienceSignificant Wave Prediction Using Neural Network
So, right now I want to test my skill using PyTorch. I am new to PyTorch, previously I am using Tensorflow to build an ML model. I already read all the basic tutorials and ready to build a real model…...
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Sensor based IoT Predictive Maintenance — Why Digital Signal Processing is must for Machine…
The industrial plants consist of several types of assets. Sensor based IoT is employed for asset diagnostics and prognostics. The rotating parts of machine assets are often subjected to mechanical…
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Predictive and Prescriptive Maintenance for Manufacturing Industry with Machine Learning
Today’s trend of Artificial Intelligence (AI) and the increased level of Automation in manufacturing allow firms to flexibly connect assets and improve productivity through data-driven insights that…
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