A review on machinery diagnostics and prognostics implementing condition-based maintenance

The objective of this paper is to provide a review of recent advances in automatic vibration- and audio-based fault diagnosis in machinery using condition monitoring strategies. It presents the most valuable techniques and results in this field and highlights the most profitable directions of research to present. Automatic fault diagnosis systems provide greater security in surveillance of strategic infrastructures, such as electrical substations and industrial scenarios, reduce downtime of machines, decrease maintenance costs, and avoid accidents which may have devastating consequences. Automatic fault diagnosis systems include signal acquisition, signal processing, decision support, and fault diagnosis. The paper includes a comprehensive bibliography of more than 100 selected references which can be used by researchers working in this field.

Review of Automatic Fault Diagnosis Systems Using Audio and Vibration Signals

Feature extraction based on semi-supervised kernel Marginal Fisher analysis and its application in bearing fault diagnosis

Detection and identification of induction machine faults through the stator current signal using higher order spectra analysis is presented. This technique is known as motor current signature analysis (MCSA). This paper proposes two higher order spectra techniques, namely the power spectrum and the slices of bi-spectrum used for the analysis of induction machine stator current leading to the detection of electrical failures within the rotor cage. The method has been tested by using both healthy and broken rotor bars cases for an 18.5 kW-220 V/380 V-50 Hz-2 pair of poles induction motor under different load conditions. Experimental signals have been analyzed highlighting that bi-spectrum results show their superiority in the accurate detection of rotor broken bars. Even when the induction machine is rotating at a low level of shaft load (no-load condition), the rotor fault detection is efficient. We will also demonstrate through the analysis and experimental verification, that our proposed proposed-method has better detection performance in terms of receiver operation characteristics (ROC) curves and precision-recall graph.

Diagnosis of broken-bars fault in induction machines using higher order spectral analysis

Structural health monitoring of offshore structures using ambient excitation

This paper reports on the application of nonlinear dynamics andhigher-order spectra, with particular regard to the correlationdimension and bispectra in rotating machinery fault identification. Theperformance of the two methods is evaluated from the view of thepractitioners' point. The correlation dimension of nonlinear dynamicalsystem is of value to engineers because it provides an estimation of thenumber of degrees of freedom that an engineering system possesses. Itcan provide some intrinsic information of an underlying dynamic system,and can be used to classify different faults intelligently. Therefore,correlation dimension is helpful for an automatic fault detectionprocedure. Bispectral analysis offers a method for determining thenonlinear coupling and energy exchange between Fourier modes, andexplains the origins of spectra peaks at certain values in the frequencyspectrum. Such frequency domain information is necessary in order toclassify different faults in rotating machinery. Therefore, acombination of correlation dimension and bispectra offer a gooddescription of a nonlinear system. These methods can be complementary toeach other in machinery condition monitoring and fault diagnosis field.

Fault Identification in Rotating Machinery Using the Correlation Dimension and Bispectra

Active detumbling technology for noncooperative space target with energy dissipation

The rapid growth of space debris poses a serious threat to space exploration activities. Large space debris, such as malfunctioning satellites, are generally uncooperative tumbling objects with flexible appendages. This paper investigates the detumbling scheme for a flexible target using a flexible-base space robot in post-capture phase. This scheme consists of trajectory planning and coordination control, which can bring the target to rest and stabilize the base attitude of the space robot while suppressing the vibrations of the flexible panels. In this paper, a recursive method based on the Newton–Euler formulation is employed to derive the kinematics and dynamics of the combined system. The trajectory planning of the end-effector is converted to a constrained multiobjective optimization problem, whose Pareto front is obtained by the multiobjective particle swarm optimization (MOPSO) algorithm. A coordination controller is developed to track the planned trajectories of the space robot. The presented numerical simulations verify the effectiveness of the detumbling scheme and its robustness to space targets with parametric uncertainties.

Trajectory planning and coordination control of a space robot for detumbling a flexible tumbling target in post-capture phase

In this paper, the attitude evolution of a dual-liquid-filled spacecraft with internal energy dissipation is investigated. The dynamic equations of the spacecraft system are established to study various trajectories including major axis spin, period-n limit cycle, and chaotic motion. A criterion is obtained by Melnikov’s method to predict the occurrence of chaotic motion of the system. The effects of system parameters, especially liquid parameters, on the chaotic region, are discussed in detail. The comparison of analytical and numerical results shows that our criterion can accurately separate the chaotic from nonchaotic region of the system in parameter space. Therefore, this paper contributes to avoid the potentially periodic and chaotic motions of spacecraft.

Attitude evolution of a dual-liquid-filled spacecraft with internal energy dissipation

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Papers

Fault Identification in Rotating Machinery Using the Correlation Dimension and Bispectra

Active detumbling technology for noncooperative space target with energy dissipation

Trajectory planning and coordination control of a space robot for detumbling a flexible tumbling target in post-capture phase

Attitude evolution of a dual-liquid-filled spacecraft with internal energy dissipation