To fully utilize the information about a machine’s technical condition contained in its emitted output processes, one must first understand the mechanism of their generation and their nature. During machine operation, due to a number of external factors (environmental forcing, influence from other machines) and internal factors (aging, wear, interaction of components), disturbances in equilibrium states occur within the machine, which propagate through the elastic medium—the material from which the machine is built. The necessity of assessing the technical condition is conditioned by the need to make decisions related to the operation of a given object and the method of further handling the object. The contemporary development of automation and computer science in terms of hardware and software creates new possibilities for implementing systems for diagnosing and monitoring the technical condition of increasingly complex mechanical structures. These new possibilities are associated with new designs of intelligent sensors, modular software, and communication and data exchange modules.[6,7]Vibration signal generation model for mechanical objects
When isolating input processes, structure, and output processes in the analysis of the dynamic state of a mechanical object, particular attention should be paid to the fact that they have a random character. The richness of randomness and possible disturbances provides a reason to define additional assumptions regarding the inputs and the occurring transformations of the mechanical object’s states. As a result of the existence of an input and the realization of state transformations reflecting the processes occurring in the object, a number of measurable characteristic symptoms are created, contained in the output processes from the machine. These processes are the basis for building a signal generation model, which determines the method of construction, functioning, and state changes of the diagnosed object (…)
The article contains 21,146 characters.
Source: Logistyka Magazine 6/2011