The present work deals with the vibro-acoustic condition monitoring of the metal lathe machine by the development of predictive models for the detection of probable faults.
Regarding the structurally controlled rock failures along the probable weak zones and lineaments (i.e., inactive probable faults or shear zones) during tunneling, wedge stability analysis was utilized to determine the potential wedge failures that could possibly occur during tunneling and to apply the necessary support systems for stabilizing any wedge failure in the tunnel.
A case study was used in the implementation of the developed system, and the results show that it can monitor the machine's health condition effectively by displaying machines' health status, gives repair suggestions to probable faults, decides strategy for both production methods and maintenance, and, thus, can enhance maintenance performance obviously.
Our solution estimates degrees of similarity among structural elements from heterogeneous log data, constructs combined Bayesian network (CBN), uses similarity based learning algorithm to compute probabilities in CBN, and classifies test log data into most probable fault categories based on the generated CBN.
To use logarithmic odds to determine most probable fault, we need to verify for which fault θ s all the ratios e k,s,j are positive.
The preprocessing of the most probable fault scenarios enables us to anticipate the calculation of deadlock-free routings, reducing the time that is necessary to interrupt the system during a fault occurrence.
Improved Real Coded Genetic Algorithm, a mathematical optimizer, is employed here to predict the probable fault pattern which causes the simulated power output to be same as the physically measured power.
In addition, our observation has clearly shown existence of a probable fault zone trending in NE – SW direction between Tabriz city and Urmia Lake which is consistent with the trend of meizoseismal zone of the Deh-Khareqan (modern Azarshahr) earthquake (M ~ 6.8) in 1641.
Our result also corresponds with the finding of Kayano and Imoto (1989), who applied an algorithm for estimating the locations of earthquake clusters to select the most probable fault plane among several possible candidates (Imoto and Hurukawa, 1988) for aftershocks of the Niigata earthquake recorded by temporary observations (Kayano, 1968).
The most probable earthquake faults running through the city are the one along Dyckman street in upper Manhattan, and the one hundreds of feet beneath Chambers Street.
Thanks, in part, to the department's samples and drawings, Mr. [Larry] Ebbitt and Mr. [Mike] Greenman know of most of the probable earthquake faults running through the city: the one along Dyckman Street in upper Manhattan, for example, and the one hundreds of feet beneath Chambers Street, practically below the underground chairs and desks they occupy….
