Equipment problems that are not detected in a timely manner contribute to the appearance and accelerated development of defects. This leads to sudden breakdowns, large losses of time, and often disasters. A correct and timely response to a problem significantly increases the reliability and safety of equipment, thereby reducing risks and capital investments in the business.
Prescriptive Maintenance (RxM) is a concept that allows you to effectively manage production equipment by issuing prescriptions for their operation and maintenance.
RxM will allow you to get away from unscheduled repairs of suddenly failed equipment and increase overhaul intervals. Also in the past will remain emergency situations and disasters associated with unacceptable wear and tear of equipment.
Modern operations and maintenance management systems are based on either simple metrics monitoring (CBM) or expert-based predictive (PdM) and prescriptive (RxM) maintenance technologies.
"i-analytics" is a Prescriptive Maintenance (RxM) application for industrial equipment. "i-analytics" is based on the continuous analysis of the technical condition of the equipment by combining signals and telemetry data constantly coming from the equipment. The use of "i-analytics" significantly optimizes many business processes of both large and small enterprises.
early-stage detection of equipment internal parts detects followed by maintenance recommendations for each structural element
"i-analytics" provides customers with comprehensive information about the technical condition of their equipment and instructions for its operation and maintenance. It is available in the user's personal account from any device connected to the Internet.
The best results are achieved by integrating "i-analytics" with production asset management systems (CMMS, MES, ERP). The most efficient way to achieve this integration is through global platforms for the Industrial Internet of Things (IIoT) and Industry 4.0. The main goal of "i-analytics" is to become the core application of RxM.
"i-analytics" works as a cloud service using its own basic functions, wavelet analysis and other digital signal processing (DSP) algorithms, machine learning based on neural networks (Machine Learning, ML) and fuzzy logic algorithms (Fuzzy Logic). It is in these areas that the core competencies of our team of scientists, engineers and experts are concentrated.
"i-analytics" has been tested on engines, rolling mills, compressors, wind turbines and other plant equipment.
Key benefits of "i-analytics":
diagnostics and equipment maintenance management are fully automatic. All algorithms operate in the "cloud" and do not require the participation of human experts;
the application operates with the current state of the equipment, its modes and technological risks at the level of specific parts (wear of the outer ring of a bearing or gear, shaft breakage, shells on rolling elements, etc.);
the application is easily scalable;
work with almost any rotary and piston equipment without the need for a long preliminary “training” of models;
work with a wide range of industrial sensors and other sources of telemetry data;
the possibility of effective integration with automated asset management systems.
fast project implementation and perfect scalability