Predictive Maintenance

Why implement Predictive Maintenance?

The focus of predictive maintenance is to detect or predict hardware malfunction. It is useful to calculate the remaining life of a component or to identify if hardware behaviour is anomalous and requires investigation.

The Challenge

This kind of project has its challenges, not least the quantity of data required. Many projects have a gigabyte, or even terabyte, pipelines of information which need analysis and action in real time.

Another challenge with predictive maintenance is the variety of input data. Predictions can be made from images and sound as well as the more usual numerical inputs like temperatures and pressures.

Our Approach

Collect data from physical sensors

In Predictive Maintenance, this step can present many challenges. Data collection is often sourced from a harsh environment which is likely to be remote and separate from analysis. Sensors may be hardwired but will often rely on battery power and wireless connectivity. We have experience in developing compression algorithms for sensors that can reduce the quantity of data transferred and save battery life.

Store data in the cloud

We recommend using a cloud service, that allows us to store large amounts of data and employ big data processing techniques such as Databricks, or HDInsight. This allows us to obtain close to real-time insight from the data.

Data cleaning

Sensor data is often not continuous and can contain quite a lot of noise. In these cases we apply resampling algorithms to smooth and interpolate the data.

Data analysis / ML deployment

Employing sophisticated anomaly detection and forecasting algorithms we can detect fault likelihood on your system and give you a forecast with the remaining useful life of your asset.

Dashboarding

For Predictive Maintenance, we recommend using custom Power BI reports to show the results of the analysis in highly detailed visualizations.

The Secret Recipe For Success

Most data analysis projects require a lot of business knowledge. Predictive maintenance, however, requires a lot of engineering knowledge and an understanding of the equipment in question.
Equipment manufacturers may have detailed data gained from the original testing of the machinery which can be used to train our models.

Our Other Data Solutions Services

Business Intelligence (BI)

From simple reports to complete BI strategy that fully meets your business needs, we can help. Enjoy the flexibility that mobile and self-service BI brings to an organization without re-inventing the wheel.

Market Segmentation

Market segmentation involves dividing customers into groups of people with similar characteristics or interests in order to make your marketing more effective.

Data Modeling

We have built many market models for our clients over the years allowing them to better understand the dynamics of the market and also to measure their performance. Market models explain what happened in the recent past and also allow us to forecast what is likely to happen.

Advanced Analytics

We can apply complex algorithms and Machine Learning and techniques of predictive analytics to a great variety of problems. Advanced analytics is a subset of data science that uses high-level techniques to predict future trends and behaviours.

Text Matching and Analytics

Being able to match two data sources is vital to good analysis and we have a proven track record and methodology. We can also apply statistical and machine learning techniques to textual data to extract information and sentiment from the data.

Data Processing

Good Data Science starts with a deep understanding of how data should be manipulated and stored. Traditional data and big data need different approaches but the underlying discipline is the same. The way we store data differs greatly and we can advise on how to adapt your platforms for better insight generation.

Integrated Security

We take integrated security very seriously at JTA. We have the most stringent security practices and hold ourselves to a higher standard than most. JTA can build dashboards that intelligently adapt their content depending on who is viewing it to help users comply with corporate accountability legislation.

Customer Churn

Using data prediction to identify when a certain customer is at high risk of churn allow clients to prevent attrition and keep existing clients. This helps immeasurably and keeps you with one in the hand rather than two in the bush.

Internet of Things

The Internet of Things is the network of small devices that have an embedded processor to measure, control and connect to the internet. Many such devices benefit from sophisticated algorithms and data science techniques. We can develop solutions ready to roll out for deployment on the microcontroller.

Outsourced Analysis

Companies which prefer to outsource data analytics instead of deploying a solution in-house can use JTA to form a virtual team to manage outsourced data analysis. Our team would typically access your data and your infrastructure and do the analysis remotely.

Market Basket Analysis

Market Basket Analysis help companies understand how their customers make purchases. The objective is to help to configure sales promotions, loyalty programs and store layout.