Our Senior Data Analyst, Julianne Rhoads created a guide as a part of I2SL Best Practices. Best Practice Guides and Technical Bulletins provide information on the design, construction, and operation of specific technologies that contribute to energy efficiency and sustainability in laboratories. The guides include information from actual implementation of these technologies in various laboratory facilities by highlighting quantifiable performance goals and possible methods to achieve them.
The Predictive Maintenance Using Automatic Fault Detection and Diagnostics guide shows how the big data analytics revolution has enabled true predictive maintenance on a large scale. Users of predictive maintenance analytics can now reap the benefits of cost savings and reduction in greenhouse gas emissions, increased reliability, prolonged equipment life, and reduced risk of process disruptions. A future opportunity to further increase the effectiveness of predictive maintenance systems is integration with enterprise asset management systems. Although this may seem simple at first, there is currently a need for a human decision maker to add business insight as to what maintenance investments should be made.
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