Provider: - Institution: - Data provided by Europeana Collections- Vsebino dokumenta predstavlja zgodba 28. junija 1991 nismo zabeležili niti enega primera kaznivih dejanj, ki jo je napisal Anton ...Hribar in je objavljena v knjižici Kako smo na Jesenicah doživljali osamosvajanje SlovenijeGre za zapis Antona Hribarja, tedanjega načelnika postaje milice Jesenice, ki je v sodelovanju s poveljnikom TO Jesenice Bojanom Šuligojem organiziral zaseg evidenc in prevoz orožja na skrivne lokacije. Spominja se tudi zasedbe mejnih prehodov, ki jo je izvedla JLA in pristanka dveh vojaških helikopterjev na nogometnem igrišču Podmežaklo, ki so pripeljali zvezne miličnike s katerimi so se pogajali o (ne)zasedbi železniškega mejnega prehoda Jesenice. Dogovor je bil dosežen 1. julija 1991, ko je bila večina prepeljana v zbirni center Kranj. Avtor je ponosen na to, da so brez žrtev in izstreljenega naboja dosegli mirno rešitev zasedbe treh mednarodnih mejnih prehodov na Jesenicah.Dokument vsebuje tudi fotografijo helikopterja Podmežaklo, 27. junija 1991. (Arhiv OZVVS, Foto: Janez Komel). - All metadata published by Europeana are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, Europeana requests that you actively acknowledge and give attribution to all metadata sources including Europeana
We performed an analysis of the time-dependent behaviour of drive belts under the loading conditions to which they are exposed during normal operation. They are dynamically loaded with a tooth-like ...periodic (cyclic) load. Within each loading cycle the elastomeric material undergoes a combination of creep and retardation processes. Under certain conditions, the retardation process between two loadings cannot be fully completed. Thus, the material enters the second phase of loading with a residual strain state. Consequently, the strain state starts to accumulate, which leads to hardening of the material, crack formation, and ultimately to the failure of the belt. We recognized that drive belts exhibit the accumulation of strain when exposed to normal operation at certain critical angular velocities. The strain accumulated in each consecutive cycle depends on the geometry of the belt, the angular velocity of the pulleys, the number of completed cycles, and the retardation spectrum of the material. In this paper we discuss the effect of the number of loading cycles to which the material is exposed in the strain-accumulation process. For a given belt geometry the critical angular velocity increases with the number of loading cycles. At the same time the magnitude of the accumulated strain decreases non-linearly as the number of loading cycles increases. Hence, the strain-accumulation process slows down with the increasing number of loading cycles. However, if the belt operates at, or in the close vicinity of, its critical angular velocity, it will almost certainly fail. Since the critical angular velocity is directly related to the retardation time of the material, and the magnitude of the accumulated strain depends on the strength of the corresponding discrete spectrum lines, we can conclude that the time-dependent mechanical properties of the elastomersic material from which the belt is constructed are the most critical parameters for predicting the durability of drive belts and other dynamically loaded elastomeric products.
Njihanje tereta uveliko doprinosi dinamičkom opterećenju dizalica. Brži prijenos tereta dovodi do pojaćanog njihanja, većih dinamičkih sila i problema s upravljanjem. Zbog toga je ispitivanje ove ...pojave postalo vrlo aktualno. U ovom se radu horizontalne inercijske sile koje stvara teret kod linearnog gibanja okretne točke proučavaju pomoću odgovarajućeg matematičkog modela. Određen je dijagram koeficijenta horizontalnih inercijskih sila mase visećeg tereta pri različitim radnim uvjetima. Razvijene krivulje se uspoređuju sa standardnim krivuljama. Ustanovljeno je da u nekim slučajevima standardne krivulje nisu konzervativne.
Setting up a reliable electric propulsion system in the automotive domain calls for a smart condition monitoring device that is able to reliably assess the state and the health of the electric motor. ...To allow massive integration of such monitoring devices, it is required of them to be low-cost and miniature. Those requirements pose limitations on their accuracy, however, we show in this paper that those limitations can be significantly reduced by suitably processing the sensor data. We used machine learning models (random forest and XGBoost) to transform very noisy measurements of motor winding insulation resistance measured by a low-cost device to the much more reliable value with which we are able to compete with measurements made by the state-of-the-art high-priced measuring system. The proposed methodology represents a crucial building block in future smart condition monitoring system and enables low-cost and accurate assessment of electric motor health connected to the state of its winding insulation.
