01225 650150 | 0800 772 0795 sales@austinconsultants.co.uk

Machine Learning

Machine learning algorithms have the potential to increase predictive accuracy at every stage of production.

Machine LearningMachine Learning

Machine learning is driving a revolution; allowing organisations to meet complex manufacturing challenges. From accelerating supply chain operating efficiency to creating new customised services and built-to-order on-time products; machine learning algorithms have the potential to increase predictive accuracy at every stage of production.

Many algorithms being developed are designed to learn continually, iterating in seconds, and enabling manufacturers to achieve optimal outcomes in minutes rather than months.

A subfield of computer science and artificial intelligence, Machine Learning deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions.

It can be utilised when there is a statistical relationship between historical and future data. It has been applied in many applications including sample classification, trend prediction and solution optimisation. This extremely powerful tool can be implemented to a transformative effect:

  • Improve preventative maintenance, repair and overhaul performance with greater predictive accuracy at the component and part-level.
  • Enable condition monitoring processes that provide the scale to manage overall equipment effectiveness at the plant level.
  • Accelerate innovation and new product and service development.
  • Increase production yields by optimising team, machine, supplier and customer requirements.
  • Optimise supply chains and create greater economies of scale.  

Our rapidly expanding team of full-time artificial intelligence and data science engineers have PhDs or MScs from some of the top academic centres throughout the world. We support ongoing research, collaborating with the University College London on their Computational Statistics and Machine Learning course, and co-supervise MSc students each summer, assisting them with their research projects.

 

Algorithm developmentNeural-network-blue

We are able to develop a wide range of machine learning processes and models that can provide greater insight and predictive accuracy to accelerate product development and optimise performance. Algorithms can be deployed as part of an integration with an existing system, as a standalone application or within a LabVIEW environment.

We can provide:

Supervised Learning

Supervised learning consists of a target/outcome variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Using this set of variables, a function that maps inputs to desired outputs is generated. The training process continues until the model achieves the desired level of accuracy on the training data. Example methods used for Supervised Learning: linear regression, Decision Trees, Random Forests, KNNs, Logistic Regression etc.

Unsupervised Learning

In unsupervised learning, there is not a target or outcome variable to predict/estimate.  It is used for clustering populations in different groups, which is widely used for segmenting data into different groups for specific intervention. Examples of Unsupervised Learning: Apriori algorithm, K-means.

Reinforcement Learning

In reinforcement learning algorithms are trained to make specific decisions. The algorithm is exposed to an environment where it trains itself continually using trial and error. It learns from past experience and tries to capture the best possible knowledge to make accurate business decisions. Examples of Reinforcement Learning methods: Markov Decision Processes, Q-Learning

Our team can support you with a wide range of algorithms and languages that can be applied to almost any data problem.

Algorithms

  • Neural Networks
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • SVM
  • Naive Bayes
  • KNN
  • K-Means
  • Random Forest
  • Dimensionality Reduction Algorithms
  • Gradient Boosting algorithms
    • GBM
    • XGBoost
    • LightGBM
    • CatBoost

python logoLanguages

  • Python
  • Java
  • R
  • C++
  • C
  • JavaScript
  • Scala
  • Julia
  • LabVIEW
  • MATLAB

Solution Overview

Our structured approach ensures that you achieve the full potential of your machine learning project.

Initial Consultancy

  • Requirements capture
  • Exploratory Data Appraisal
  • Data integration requirements

Solution Design

  • Algorithm design
  • Software architecture: dedicated stand-alone app and/or integration with LabVIEW/client systems

System Development

  • Algorithm development
  • System software integration
  • GUI development
  • User/Admin training

Maintenance

  • Ongoing maintenance and support, as required.

Outcomes

  • Gain new insights and optimise equipment performance.
  • Accelerate innovation and new product or service development.
  • Independent expert review of requirements.
  • Effective budget management via outsourced expertise and transparent project management.
  • Improve preventative maintenance, repair and overhaul performance with greater predictive accuracy at the component and part-level.
  • Enable condition monitoring processes to manage equipment effectiveness.
  • Increase reliability, availability & maintainability
  • Prevent outages, reduce maintenance and energy-related costs
  • Improve the safety of personnel & assets.
  • Improve the value of existing enterprise asset management, maintenance and product development systems.
  • Increase production yields by optimising team, machine, supplier and customer requirements.
  • Optimise supply chains and create greater economies of scale.  

Why Austin Consultants

  • Our consultants are experts in software integration, with a proven track record of delivering solutions in product development environments.
  • Our services can be outsourced or we are happy to undertake projects as part of a blended team, working alongside your in-house developers to ensure seamless delivery and knowledge transfer.
  • We have a proven pedigree in delivering machine learning and condition monitoring applications.
  • We are able to draw upon expertise amassed working with clients across a wide range industries offering advanced engineering and manufacturing applications.

From our blog

Artificial Intelligence Prognostics Demonstration

At Factories of the Future and Industry 4.0 Summit Manchester, 28 Feb - 30 March 2018, the Austin Consultants team exhibited a demonstration that illustrates the benefits of using artificial intelligence combined with non-intrusive load...

Visit us at Industry 4.0 Summit

Austin Consultants will be exhibiting at the Industry 4.0 Summit, at Manchester Central Convention Complex, on 28 February - 1 March 2018. The Industry 4.0 Summit is a unique opportunity for the manufacturing industry to get together to specifically share ideas and...

NI LabVIEW Vision Demo – Robot playing Air Hockey

Video Demo: Description The system uses the NI LabVIEW Vision tools running on the Laptop to perform high speed object and pattern matching at scan rates of up 80fps to follow both the Puck and the Robot Pusher. Using advanced mathematical...

Hidden Markov Model in LabVIEW

Consider this scenario: a guy (say John) has three dice. The shapes of the die are different. Die 1 has numbers 1, 2, 3, 4, 5, 6 on it, Die 2 has numbers 1, 2, 3, 4 and Die 3 has numbers 1, 2, 3, 4, 5, 6, 7, 8, as seen in the following...

News & tips

Sign up to our email newsletter to receive regular LabVIEW tips and related updates from the Austin Consultants team.

Get in touch

Talk to us about your project today.