It is an important means for determining the conditions and making fault analysis of the aero-engine by measuring its vibration. Because the different features give different analysis results for vibration fault, in order to integration these information, the results of the different Back Propagation (BP) neural networks were fused by applying the Dempster-Shafer (D-S) evidential theory of the information fusion and the basic belief assignment function was established according to the statistical parameters of the networks. The analysis results from the aero-engine vibration signals show that the information fusion method can improve the reliability of the diagnosis and decrease the uncertainty.

Three-axis MEMS accelerometers are typically characterized in terms of their cross-sensitivity matrix. We present an analysis and protocol to characterize them in terms of their intrinsic properties, which we define as the responsivity of each accelerometer along its axis of maximum response in a gravitational field and the angles between each of these axes. An analysis and test protocol is developed to determine these properties using a gimbal to rotate each axis of the device orthogonally to the gravitational field. We propose that this approach is better suited for laboratory inter-comparisons.

Following, and in addition to several papers, exercises and thorough research concerning the topic of primary calibration of back-to-back vibration transducers in the frequency range > 5 kHz, this paper aims to raise the question if the conventional method using slotted mass, is mandatory when using modern commercial calibration standard vibration exciters in fully optimized system setup.

Multi-exciter vibration systems provides access to simultaneous multicomponent calibration of motion transducers. Vibration control is an essential prerequisite to generate accurate spatial orbit motion for transducer calibration. Relationship of shapes and orientations of spatial orbits and amplitudes and phases of acceleration components is discussed. Multi-exciter vibration control for both cross-coupling compensation and amplitudes and phases control of acceleration components is investigated. The experimental results show that the proposed control method can efficiently reduce cross-coupling of the tri-axial vibration exciter and a variety of spatial orbits can be generated.

A study is presented in this paper able to identify and to quantify the effects of sensor characteristics and of data processing aspects on the uncertainty of the features used for Condition Monitoring (CM) applications, based on a hybrid approach. The precision of the sensors and the modalities to perform the FFT and obtain the related features are evaluated, to improve the coherence of information deriving from the data obtained by means of a physics-based model and that gained from the experiments. Validation of the features related to both classes is expected to improve the fusion process of data and the accuracy of prognostic algorithms.