Prevent downtime and increase efficiency
Industry 4.0 is a new modernization and computerization trend of manufacturing driven by the advances of the Industrial Internet of things, cloud computing, edge computing and artificial intelligence. The new paradigm promotes the adaption of these advanced technologies into the process and equipment in industrial manufacturing. PdM is a critical component of Industry 4.0 content. As production activities deeply rely on machines states, maintenance has obtained critical importance. To avoid an unexpected breakdown, there is a transformation from reactive maintenance to proactive maintenance. PdM is regarded as a cost-saving method, which aims to decide the maintenance time for equipment before the upcoming equipment failure by assessing the degradation condition and calculating the remaining useful life (RUL).
With the implementation of PdM, the unplanned downtime cost can be reduced . According to the report from McKinsey, the maintenance cost will significantly reduce by 18%-25% after implanting the PdM, and
therefore the research on PdM appealed to lots of attention from both academia and industry in recent years. Nowadays, large volumes of data that contain valuable information about the process and operations can be collected from industrial equipment. Industrial data are collected by heterogeneous sensors and then stored in the database.
Nowadays, large volumes of data that contain valuable information about the process and operations can be collected from industrial equipment. Data-driven methods are employed to analyze this data and get valuable insights for prognosis. Typically, data-driven methods have two main scopes: machine learning approaches, and statistical approaches. Another mainstream method in PdM is the physical-based model which assesses the degradation of components using physics laws. Besides, the hybrid approaches, which is a combination of data-driven methods with physical-based methods, is the third class of PdM methods.
SİMTEK can apply all the methods depending on the PdM needs of the customer.