Currently, one of the most pressing global issues is ensuring that human activities have access to water resources that meet essential quality standards. This challenge is addressed by implementing a series of organizational and technical measures aimed at preserving the ecology of water basins and reducing the level of harmful industrial emissions and other pollutants in the aquatic environment. To guarantee the necessary quality of water resources, monitoring is conducted based on selected parameters using various methods and means of technical quality control. From these results, suitable measures are formulated and applied to maintain water quality. Various scientific works extensively discuss different approaches to water quality management and compliance with specified requirements. Modern strategies for developing water monitoring systems leverage the capabilities of information systems that collect, process, store, and transmit information, enabling the resolution of issues in geographically distributed water bodies in real time. This paper proposes an approach that employs mathematical methods to identify the most significant factors determining water quality and to assess their interrelations using methods of a priori ranking, multivariate correlation regression analysis, and integral quantitative assessment. A hardware and software solution for the development of a unified integrated information and analytical system is proposed. This system enables continuous monitoring and assessment of water bodies based on a set of key parameters, addressing a range of critical tasks. This paper provides a detailed description of the software product, presents a demonstration using real-world data, and discusses the anticipated benefits of implementing such an information and analytical system.

The article presents the results of modeling the operating parameters of an engine pressurization assembly centrifugal compressor at evaporative air cooling. A step-by-step method for calculating a centrifugal compressor is described in order to evaluate the effect of evaporative cooling and air humidity on the temperature behind a centrifugal compressor. The proposed method for calculating the operating parameters of an engine pressurization assembly centrifugal compressor of an internal combustion engine with evaporative air cooling is used to evaluate the effect of humidity on the operation of a turbo compressor using an author program (certificate of state registration of the computer program № 2016611761). A series of calculations of a centrifugal compressor parameters was carried out with finely dispersed water in front of the compressor, which allowed the air humidity to be maintained at 100% with changes in temperature and pressure during the compression process. Analysis of the results showed areas in which it is advisable to organize the separation and removal of excess moisture. The presented research results are necessary for choosing the methods for separating moisture during evaporative cooling of charge air in turbocharged internal combustion engines.

Centrifugal compressors (CCs) are key components of marine power plants (MPPs), supporting engine boosting, boil-off gas (BOG) handling on liquefied natural gas (LNG) carriers, and auxiliary services such as heating, ventilation, and air conditioning (HVAC). However, recent publications are often fragmented by domain (aerodynamics, mechanical design, standards, and digitalization), complicating cross-domain engineering decisions for marine duty cycles. This structured review follows an explicit protocol to synthesize peer-reviewed studies (2015–2025) retrieved from Scopus and Web of Science and organizes the evidence by application class: turbocharger-integrated stages for marine diesel and gas-turbine engines, LNG/BOG compression trains, and auxiliary onboard services. The synthesis consolidates (i) aerodynamic KPIs (pressure ratio, efficiency, surge and stall margins, and operating range), (ii) mechanical and lifecycle enablers (seals, bearings, and rotordynamics), and (iii) quantified impacts of digital methods (control, diagnostics, and digital twins). Reported trends include single-stage pressure ratios of ~5.4–5.7, multistage overall pressure ratios exceeding 10, and surge-margin improvements of ~40–44% associated with advanced diffusers as well as casing and endwall treatments. Industrial case studies (non-marine) report downtime reductions of ~25–35% and maintenance-cost reductions of ~25%, while evaluated diagnostic datasets show high accuracy. Key gaps remain in marine-specific validation datasets and harmonized testing and data standards.

In this paper the method of synthesis of distributed regulator, uniform control object is regarded, which is based on the specified inaccuracy. The function of the initial heating has been received; the mathematical modeling of the process has been conducted as well as the analysis of the results. With the help of the obtained regulator hardware and software complex has been designed in the Pascal programming language, the complex allows to simulate the behavior of the temperature fields in the isotropic rod. The article presents the simulation of the temperature process for different configurations of the system. Namely, there is simulation with different number of impulsive heating sources with the relay control principle. The practical results of these studies suggest the possibility of building silicon carbide heating element, made ??in the form of an isotropic rod.

A forced fault label does not establish that diagnostic evidence supports an engineering conclusion. This study evaluates a post-prediction D0–D5 layer combining calibrated class probabilities, predicted severity, pressure–torsion feature-group consistency, and evidence completeness. The simulated 3500-DEFault benchmark at 2500 rpm and 0, 15, 30, and 60 dB was partitioned by scenario into training, calibration, validation, and test sets. Operating parameters were selected on validation data and locked before final-test evaluation. Across five split seeds, the calibrated classifier had error 0.0462 ± 0.0032. The status layer achieved coverage 0.9791 ± 0.0015 and four-class selective risk 0.0342 ± 0.0039. The status false-safe rate was 0.00208 ± 0.00165, compared with the forced false-safe rate of 0.0094 ± 0.0038. Among true G4 cases, 0.9795 ± 0.0024 received D3/D4. Approximately matched entropy rejection had slightly lower selective risk (0.0329 ± 0.0037); superiority in rejection efficiency is not claimed. Partial torsional-feature loss exposed substantial severe-case underwarning without universal refusal. The contribution is an interpretable separation of normal, intermediate, high-confidence fault, severe-fault, and refusal indications. Repeated splits quantify split sensitivity, not independent engine replication. Results are limited to the simulated fixed-speed benchmark and do not independently validate shipboard maintenance decisions.