Large ships or vessels consists of heavy machinery prone to defects and failures. Failure of any machinery or component can incur heavy repair costs, labour costs and logistical costs. Untimely deliveries due to unplanned downtime also affect the revenues considerably. [expander_maker id=”1″ more=”Read more” less=”Read less”]

To avoid unplanned equipment failure, the shipping industry has been employing a periodic or planned maintenance practice wherein inspection, component replacement and lubrication are performed at periodic intervals. This method prevents breakdown but is rather expensive. Preventive maintenance requires a large number of personnel along with availability of spare parts, which increase the holding costs. Also, routine maintenance also limits the availability of ships.

To prevent breakdowns as well as to limit the routine maintenance tasks, it is essential to monitor machines continuously, predict failures and perform maintenance only when necessary.

Vegam’s predictive maintenance platform along with smart IoT sensors enables continuous monitoring of shipping components. Machine failures and fault conditions can be predicted using predictive analytics, thus optimizing the whole maintenance in shipping industry.[/expander_maker]