MOVUS BLOG

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Condition-Based Maintenance

Continuous Condition Monitoring Case Study – Fertiliser Manufacturing

One of the key benefits of continuous condition monitoring is that it acts as an early warning system – giving maintenance teams advance notice of subtle changes that, if left unattended could degrade into more permanent damage or a failure. In late June, one of our chemical and fertiliser manufacturing customers provided feedback to us about an alert they received.

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MOVUS and Denver solve the Connected Assets Challenge

MOVUS, developer of world-leading continuous condition monitoring solution FitMachine, and global IT Solutions provider Denver, have announced a strategic partnership to automate the input of real-time asset condition data into Enterprise Asset Management systems like IBM Maximo. Maintenance, reliability, production and operations managers can now access new data-driven insights on asset performance for faster decision-making.

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MOVUS Awarded Startup of the Year at Future of Mining 2019

We’re pleased to announce that MOVUS was selected as the Startup of the Year at the Future of Mining Australia 2019 in Sydney last night. The Future of Mining conference brings together global mining leaders to share their vision of how mining will evolve and embrace emerging technology like Artificial Intelligence, IIoT, Autonomous Vehicles, and Augmented Reality.

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Australian Manufacturing: Time to Invest is Now

Scenario

According to the Australian Industry Group (Ai Group), our national Manufacturing industry has been expanding consistently with 25 months of uninterrupted growth (1), the longest run since 2005. On the other hand, it is no secret the sector is under pressure to transform. Traditional production methods and business models are being disrupted as digital technologies advance the capabilities of the industry.

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The Shift from Preventive to Condition-Based Maintenance

The current shift from Preventive to Condition-Based Maintenance (CBM) deserves some reflection. Until recently, CBM required the implementation of costly monitoring equipment and skilled technical analysts to be effective, limiting its application. The development of low cost machine condition sensors coupled with artificial intelligence is disrupting the industry and re-writing the rules of maintenance regimes.

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