In Perm, the algorithm for assessing the technical condition of equipment has been modified.

To assess the technical condition of various equipment units, technical fleets, or the machinery of an entire enterprise, the "Technical Condition Index" (TCI) is utilized. Currently, models based on expert evaluations are employed for its determination, which can lead to inaccuracies in estimating the remaining lifespan of equipment. Researchers at Perm Polytechnic University have developed a new methodology grounded in a functional model of the structure and statistical data on operational parameters. This approach aims to enhance the accuracy of the technical condition indicator and reduce the risks associated with equipment failing before its planned service life is reached.

2024-10-18 07:33:25https://naked-science.ru/article/column/algoritm-otsenki-tehniche

The article was published in the journal "Electrical Engineering, Information Technologies, Control Systems." The study was conducted as part of the strategic academic leadership program "Priority 2030."

In Russia, the methodology approved by the Ministry of Energy is widely used to assess the technical condition of equipment. The parameters for calculating the technical condition index are based on expert evaluations. Despite the professionals' experience and understanding of complex systems, individuals may possess varying levels of knowledge, which can lead to subjective influences on the results.

Scientists from Perm Polytechnic have modified the method for calculating the technical condition index (TCI) to ensure that parameters are determined by objective characteristics using equipment design models and operational statistical data.

Complex technical equipment consists of key functional units, each playing a role in ensuring operational efficiency (for instance, a car has a drive system and a braking system). The polytechnics propose a stepwise calculation approach, meaning the TCI of the entire device is determined based on the TCI of its key units, which are calculated according to their parameters. This approach is founded on a model that considers the design, technological, and statistical features of the technical system.

Theoretically, the technical condition index ranges from 100 to 0 (in percentage), where 100 indicates the best condition when operational equipment is first put into service, and 0 signifies the worst condition when the device cannot be used.
Researchers at PNIPU tested the developed model using a database of parameters for turbojet engines. Compared to the Ministry of Energy's model, it demonstrated more accurate results when calculating the condition of three engines using the same data.

"When the TCI reaches a value of 70, engines calculated using our method are expected to operate for 129, 193, and 128 cycles, while the Ministry of Energy's method predicts slightly longer operation times of 142, 209, and 137 cycles, respectively. We believe that calculations based on the Ministry of Energy's methodology involve certain risks associated with operating under deteriorating equipment conditions.

The proposed TCI indicator, unlike the Ministry of Energy's curve graph, changes smoothly, reflecting the gradual wear of equipment components. Additionally, the applied methodology cannot detect the emergence of pre-failure situations. The scheduled time for maintenance activities, according to our method, arrives 6–10 percent earlier in the cycle, ensuring more reliable equipment operation and preventing complete work stoppages,” explained Rustam Faizrahmanov, head of the Department of "Information Technologies and Automated Systems" at PNIPU and Doctor of Economic Sciences.

Scientists from Perm Polytechnic have developed a new methodology for calculating the technical condition index of equipment for industrial enterprises. This method allows for monitoring the TCI level and obtaining information about the need for maintenance work more promptly, preventing equipment failures and production halts.