{"id":14708,"date":"2019-02-27T11:00:10","date_gmt":"2019-02-27T19:00:10","guid":{"rendered":"https:\/\/www.palada.net\/index.php\/2019\/02\/27\/news-8457\/"},"modified":"2019-02-27T11:00:10","modified_gmt":"2019-02-27T19:00:10","slug":"news-8457","status":"publish","type":"post","link":"http:\/\/www.palada.net\/index.php\/2019\/02\/27\/news-8457\/","title":{"rendered":"6 Steps to Get Predictive Maintenance Ready"},"content":{"rendered":"

Credit to Author: Ludovic Debuchy| Date: Tue, 26 Feb 2019 19:48:30 +0000<\/strong><\/p>\n

The true cost of unplanned downtime<\/strong><\/p>\n

\"\" <\/p>\n

In industrial and manufacturing environments, equipment failures can significantly affect the bottom line. In fact, analysts have found that downtime can cost the average factory between 5 and 20 percent of its productive capacity[1]<\/a>. Unreliable equipment costs multiply exponentially when you add downtime, lost production, cost of repair, replacement, loss of quality, safety risks and disappointed customers.<\/p>\n

A smarter approach to put you back in control of your operation<\/strong><\/p>\n

Technology advancements such as IoT sensors are enabling machines to connect to software and provide recommendations to employees to act before a failure occurs. This process is called predictive maintenance, where connected and integrated data is monitored to determine the condition of in-service<\/p>\n

equipment to estimate the true health of the equipment and detect abnormal behaviors, risk of failure or change in settings.<\/p>\n

\u00a0<\/em>Predictive Maintenance increases the life expectancy of your assets, reducing downtime and ensuring continuous equipment availability and peak performance. <\/em><\/span><\/p>\n

Moving from reactive or planned maintenance strategies to a predictive maintenance strategy can seem overwhelming. The below checklist was designed for teams to prioritize actions to get predictive maintenance ready in 2019.<\/p>\n

Your checklist to get predictive maintenance ready:<\/strong><\/p>\n