C4D is perfect Match for Predictive Maintenance

According to the Brazilian Association for Maintenance and Asset Management (ABRAMAN), on average, 5% of the industry’s gross revenue is spent on maintenance.

“Maintenance costs are significantly reflected in the financial results of companies.  To reduce  maintenance costs is mandatory to ensure the competitiveness of industries in the most varied segments”, explains Raimar van den Bylaardt, Director of Innovation at PhDsoft. “That’s where predictive maintenance and PhDsoft’s C4D come in,” he says.

According to the executive, predictive maintenance is one of the techniques capable of offering operational security in the industry, through the continuous monitoring of machines, equipment and structures.

“Predictive maintenance reduces the occurrence of unexpected failures and prevents a series of problems from being triggered,” he explains. “In addition, it increases the useful life of the equipment. All of this is, obviously, reflected in the financial results of the companies”, he reinforces.

Robust and proven technology, the PhDsoft digital twin C4D accurately predicts the degradation and corrosion of complex assets over time, the C4D is able to monitor, analyze and improve process performance, reduce costs and increase productivity, such as also perform risk analysis, signaling potential accidents.

“C4D is a perfect match for predictive maintenance,” says the PhDsoft executive, recalling that the solution is used in major oil exploration and production projects in Brazil and worldwide.