This paper presents selected possibilities for mathematical models in predictive maintenance of equipment. This model includes automatic classification of machines by labor intensity, determination of labor intensity standards, and drawing up monthly and yearly maintenance plans for manufacturing lines and technical equipment in an engineering company. This model reduces human error, clarifies accounting and operational records of machines, evaluates the actual maintenance labor intensity, eliminates routine administrative work, enables the use of cloud storages, and includes automatic reporting of problems in the case of on-board diagnostic systems. It is based on differentiated machine care, can be an effective tool for the overall optimization of maintenance processes, and is a part of the digitization of these processes in engineering companies.
This paper disciisses ways of applying inatlzematical iizetliods to evaliiate the rcsiilts of tribodiagnostics (ferrograpliy) rela ted to vehicle engines. The idea is based on a discrirninative analysis wlziclz makes it possible to describe one qiialitafive paranietcr; e.g., tlic cornplex technical sfate of the engine, by means of sezieral qiiantifatizie paraincfcrs, e.8.. the quantity of diagnosed wear particles in irsed oil. The resitlts have beeri verified iisirig statistical dafa from triick and aiifornobile engines.Keywords discrim in at ive analysis, cii rren t wen r, 1 imi t wear, crit ical wear, lam ilia r part ides ,
Noise is highly associated with adverse effects on health, the human psyche and performance. Current special vehicles do not possess sufficient technologies to suppress the transmission of noise or vibration, which typically results in loss of control, comfort, driving safety, the performance of tasks, etc. At the same time, noise reduces attention and work efficiency while increasing fatigue, leading to hazards, dangerous situations, and missions that may not be completed. This article briefly presents selected parts of a project which included additional soundproofing of a special armoured mobile vehicle on a TATRA wheeled chassis. Basic theoretical, experimental, and practical information about this project is presented. To reduce noise, a selected damping material was used, which is a combination of recycled PUR foam and black rubber with a rough structure. The damping material was selected based on repeated experimental testing of sound absorption measurements from several damping materials. The material was chosen for suitable damping effects and corresponding technological properties (resistance to high temperatures, non-flammability, etc.). In the engine compartment and the cab of the vehicle, the damping properties were experimentally verified after retrofitting, while the noise was significantly reduced.
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