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    • 19
    • Jul

    Senseye celebrates prognostics at scale milestone of over 1,000 machines under automated predictive maintenance analysis

    Senseye, the Uptime as a Service leader today announced that it has reached a significant prognostics-at-scale milestone of automatically monitoring over 1,000 machines at a single customer site for early signs of mechanical damage and failure; using machine learning to help the client to avoid unplanned downtime, without relying on expensive consultants. 

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    • 14
    • Jul

    Reduce machine downtime, embrace prognostics

    It’s an unfortunate fact of reality that no-matter how advanced the equipment, there will come a time when the machine unexpectedly fails and your factory experiences losses caused by unplanned machine downtime. The costs of this can vary dramatically; from over $1.5M per hour in automotive manufacturing to thousands per hour in the Fast Moving Consumer Goods (FMCG) industry; no-matter the cost it’s still extremely undesirable. 

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    • 23
    • May

    Senseye celebrates recognition as global Predictive Maintenance leader

    Senseye, the Uptime as a Service company today announced that it is celebrating its global recognition as a predictive maintenance leader with its automated condition monitoring and prognostics product by offering a limited discount to new customers in June.

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    • 11
    • May

    What is Servitization and how does Predictive Maintenance help?

    Servitization is a relatively new term in the industrial sector but it’s quickly picking up a following; with The Manufacturer magazine even dedicating a whole series of conferences to it. In a sentence, it’s the concept that any product / offering, can be delivered ‘as a service’ (e.g. by the hour or unit) rather than as a discrete product + maintenance combination. A classic example of this is Rolls-Royce in the 80s shifting its business to a ‘Power by the Hour’ model where no longer would they simply sell jet engines and warranties, they would instead offer the operator flight-hours – the responsibility would then be entirely on Rolls Royce to deliver the contracted number of hours whilst achieving certain availability metrics. 

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    • 06
    • Apr

    Effective prognostics and what it means for you

    Prognostics, the science of being able to accurately forecast the Remaining Useful Life (RUL) of machinery is a key technique in forecasting machine failure. We believe that prognostics is one of the most important enablers of predictive maintenance yet a number of reasons have blocked it from widespread adoption: 

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    • 17
    • Mar

    Senseye to demonstrate next generation predictive maintenance software at Maintec UK

    Press release: For immediate release
    Southampton, UK,
    16/03/2017

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    • 10
    • Mar

    Predictive analytics isn’t useful for predictive maintenance

    Predictive analytics is the catch-all term for any technologies which can help you to predict the future by analysing past historical events as well as real-time data feeds. It’s had some particularly successful case studies (‘Other customers bought XYZ’ on Amazon) as well as some potentially unnerving ones (Target predicting a girl’s pregnancy before her family knew). 

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    • 24
    • Feb

    Uptime-as-a-Service leader Senseye launches next generation of predictive maintenance software

    Press release: For immediate release
    Southampton, UK, 24
    /02/2017

    Senseye, the Uptime-as-a-Service leader, today announced the launch of version 2.3 of its automatic condition monitoring and prognostics software, bringing Remaining Useful Life calculations to all customers – whether they operate 10 or 10,000 assets. Senseye is the only product in the world to offer automated condition monitoring combined with Remaining Useful Life analysis.

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    • 08
    • Feb

    The top 3 barriers to predictive maintenance

    Predictive maintenance sounds great – maintain your assets, before they show outward signs of failure and cause unplanned downtime (loss of revenue), whilst spending less money than you would for a preventative maintenance program – boosting profitability and throughput. The benefits are quite clear. Why then do relatively few companies have an active predictive maintenance program? 

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    • 23
    • Jan

    Condition Monitoring Techniques, An Overview

    Simple beginnings

    Condition monitoring, whilst now highly technical and adapted for specific industries (with Aerospace & Defence arguably leading the way) had very humble beginnings, essentially listening to a machine and trying to understand if it ‘felt right’ or not. Humans seem to have an inherent talent for this (I’m sure many of us have experience with our cars, feeling that something isn’t quite right or doesn’t sound like it should!) but pure intuition isn’t a good way to scientifically implement predictive maintenance and avoid unplanned downtime. 

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