Source: Siemens
Industries worldwide are transitioning towards innovative solutions to streamline their operations and one such solution to help with that is Senseye Predictive Maintenance from our partner Siemens.
Automate the future analysis of any and every kind of machine
Senseye Predictive Maintenance enables asset intelligence across your plants without the need for manual analysis. It helps manufacturers increase productivity, work more sustainably, and accelerate digital transformation across their entire organisation.
Combining leading AI with human insights, the platform automatically generates machine and maintainer behaviour models to help direct your attention and expertise to where it’s needed most. It also integrates with any asset, system, or data source, using data you already collect or with newly installed sensors as part of a complete package.
Predictive maintenance at scale
Senseye Predictive Maintenance is designed for the shopfloor by the maintenance and operations teams who need to keep things running smoothly and ensure that unplanned downtime stays down.
The platform integrates seamlessly and provides maximum value by leveraging your existing investments. It focuses on automatically delivering advanced Predictive Maintenance insights in an easily understandable manner.
As a highly scalable cloud-based solution, a Senseye Predictive Maintenance deployment expands as your needs grow. Most clients typically start with a sub-set of assets in a single plant to understand the platform and establish best practices.
Initial deployments can be up and running in weeks, with a positive business outcome demonstrable in just 3 to 6 months of use and scaling to full site development and multi-site deployment over the next 6 to 8 months.
Benefit Insights
Reduce your unplanned downtime by up to 50%
Unplanned machine downtime can contribute up to 24% of costs to modern industrial production while causing damage to reputation, efficiency, the environment, and the bottom line. With most maintenance work being categorised as ‘crisis work’ to fix breakdowns, the losses quickly add up through labour, raw materials, and lost potential products sold. Over 80% of companies say that solving this problem is a priority.
And that’s exactly what Senseye Predictive Maintenance does. Using AI-powered algorithms developed from the ground up to learn normal machine and maintainer behaviour, the platform diagnoses immediate and upcoming issues, allowing you to maintain before failure and avoid production stoppages, emergency work, and extra shifts.
Ensure sustainable and safe industrial operations
Given skyrocketing energy costs and difficult resource availability, a focus on safe and sustainable operations is essential for cost reasons alone. Sustainability in manufacturing means ensuring that production assets are operating at peak efficiency, without wasting energy, damaging the environment, or enlarging your carbon footprint. Finding ways to continually measure and demonstrate this is business-critical.
Senseye Predictive Maintenance is designed to help you target and improve sustainability metrics by detecting machine degradation and predicting machine health issues early on. This reduces the need for manual inspections and the travel they require extends asset lifetime, and reduces waste and spoilage from malfunctioning machines.
Enable precise and efficient maintenance
Checking for problems that aren’t there and maintaining things that don’t need it is a waste of time and resources that can even become counterproductive: Up to 80% of machine failures can trace their origin to human intervention, and planned maintenance and inspection can introduce failures in machines that are otherwise healthy.
Senseye Predictive Maintenance helps you use your resources more efficiently and only targets the machines showing signs of reduced health. Automatically monitoring your machines, Senseye Predictive Maintenance enables your teams to focus only on what matters at the best time, puts an end to costly over-maintenance, and eliminates the need for inefficient spot checks and random sampling.
Machine agnostic
Senseye Predictive Maintenance combines leading AI with human insights and automatically generates machine behaviour models to help direct your attention and expertise to where it’s needed most. It integrates with any asset, system, or data source, using data you already collect or with newly installed sensors as part of a complete package.
Further Information
For more info about Senseye or to see how we can help with your Siemens automation and control requirements – get in touch.
Or browse the Siemens product range.
