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Your Partner for your Predictive Maintenance 4.0 Implementation
Our expertise guides your Predictive Maintenance 4.0 roadmap steb-by-step ensuring the highest return with the mimimum risks and costs.
Our proprietary Digital Environment allows you digitalising pieces of equipment independently from its manufacturer in few minutes and provides Insight Information with unparalleled performance.
Our capabilities empower your internal team for the integration of Predictive Maintenance 4.0 into your core processes (technical transfer, learning experience, training, community of experience sharing).
Our Expertise
Robots: 90
With currently more than 90 logistic robots under contract, we have been developing a recognised expertise in this highly demanding and strategic field.
Avg. ROI: 2 years
Our gradual implementation process grants for high return at minimum risks. No large initial investment required. Our customers are free step out whenever they want.
Applications: 4
Our expertise is recognised in Pharma, Food, Power and Logistic. New applications are continously being developed in partnership with our clients
Our Digital Environment
Wireless Data Acquisition with LYRA
LYRA is our proprietary wireless technology used to collect all kind of data in a structured manner.
Smart Data Analytics with MoonStone
MoonStone is our proprietary cloud platform used to store, manage and process data with smart data analytics.
Services
Our set of services (training, consulting, engineering) supports your transition to the Predictive Maintenance 4.0.
Our Capabilities
Our Capabilities allow you implementing your Predictive Maintenance 4.0 strategy step-by-step at minimum risks and costs ensuring the highest return.
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Pilot Experience
The Digital Environment is validated during the pilot. After commissioning, data is generally collected for one to six months. Data is processed by our library of algorithms. The results are provided in form of pilot reports.
At the end of the pilot, you are free to decide to carry over the pilot into the implementation/empowering service phase.
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Implementation
The implementation consists of scaling up the pilot for a pool of equipment.
The implementation duration is typically between 3 to 6 months. The main purpose is to develop digital knowledge from larger sets of data. The algorithms and periodic reports are getting continuously improved.
Testimonials
A very successful application of the wireless vibrations sensors LYRASens has been achieved in Peru at the hydropower plant of CERRO DEL AGUILA (3x 170MW). This contributed to shorten the time to measurements at the entire satisfaction of all parties. We thank you GradeSens for the great partnership.
Claudio Baron, Principal Engineer at ANDRITZ Hydro
We are working with GradeSens since 18 months on the monitoring of vertical robots. The Predictive Maintenance solution is in operation for 36 robots and has been installed without problem in few minutes per robot. The partnership with GradeSens works very well and we are happy to keep moving forward with this company.
Rolf Piana, Head of Maintenance, Swiss Post Mail.
Predictive Maintenance is being implemented on one of our critical process equipment since 18 months. This solution allowed us to change our management strategy from preventive to predictive. The economic benefits are clear: less unexpected shutdown, less maintenance costs and better risk management. Thank you and lots of success to GradeSens.
Thierry Deillon, head of maintenance, Translait
Project snapshots
News
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