Adopting a ‘run to failure’ reactive maintenance strategy can be fraught with problems:
It only takes one major incident or failure to be convinced that simply reacting is far from an effective strategy. Adopting a condition-based monitoring strategy not only enhances overall operational efficiency, but ultimately saves money long term. Oil monitoring is increasingly recognised as a critical element of condition-based monitoring, oil analysis provides important information about equipment wear, as well as the condition of the oil itself. Keeping machinery operating at the optimal level involves measuring, monitoring and analysing changes in lubricant oils for contamination and chemical content.
However, an abundance of data does not necessarily generate value for a company. It is the analysis of this data that can provide insights into issues affecting equipment performance and reliability, and operators can make cost-effective maintenance decisions and drive a strategy for operational change and improvement, based upon this analysis.
Research by McKinsey Global Institute suggests that manufacturing companies could save up to 50% in product development costs and could lower operating costs by up to 25% if they effectively deploy the potential of their data. Leveraging the success of a real-time oil monitoring strategy hinges on effective data analysis. It is an opportunity to lower product development and production costs, improve gross margins and add to your industry advantage.
Tan Delta’s real-time oil condition monitoring solutions are the first choice of the world’s leading equipment manufacturers and operators. Not only does the core FSH™ technology differentiate Tan Delta sensors in terms of oil condition monitoring performance, but the data display options, cloud-based web platforms and existing telematic integration are all designed to allow the operator to fully access the benefits of enhanced data acquisition when directing their maintenance strategy.