Experience in condition monitoring and diagnostics of heavy machinery

The paper deals with the presenting of the author experience in condition monitoring and diagnostics of heavy machinery. It is started with the problem of noise suppressing of an exhaust stream and the design of noise suppressors. It is presented the diagnostic qualification of causes of shaft surface errors after grinding. It is also given acoustic diagnostics of couplings with a negative allowance. The main experience of the author is connected with heavy machinery, which are used in mines. The development of the condition monitoring and diagnostic for drive units of belt conveyors is presented. The development is stared with presentation of diagnostic method in which are used three filtration bands for a vibration signal separation namely 10 - 100Hz, 100 - 3500Hz, 3.5 - 10kHz. For the signal in the band 100 - 3500Hz it suggested to present the relation between RMS (diagnostic feature) and external load. This relation gives the base for condition monitoring of objects, which work in the condition of varying external load, and generate not stationary vibration signal. There are also presented results of computer simulations and rig investigations, which gives the base for better understanding the relation: vibration signal and gear condition. It is also suggested that the root cause analysis should be used in the diagnostic procedures. The root cause analysis should be based on the factor analysis, factors can be divided into: design, production technology, operation, and change of condition. The methods for the machine drive condition monitoring and diagnostics of bucked wheels in bucked wheels excavators is detailed presented.