Acoustic Emission, Cylinder Pressure and Vibration: A Multisensor Approach to Robust Fault Diagnosis
نویسندگان
چکیده
When an engine component participating in the combustion process of an internal combustion piston engine, malfunctions, this malfunction may be reeected in the ensuing cylinder pressure traces, acoustic emission and vibration signals. In this paper, we explore the idea of exploiting information detected by pressure, vibration and acoustic emission sensors in order to develop fault diagnostic classiiers. It is shown that, following training on examples of normal operation of a diesel engine and 4 fault conditions, Artiicial Neural Nets based on data from any one of these three sensors can be used to identify the fault condition. In addition a system consisting of an ensemble of three nets, each of which is based on a diierent sensor, can be assembled. The advantages of such a system in terms of protection against sensor failure are discussed.
منابع مشابه
Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study
In recent years, acoustic emission (AE) sensors and AE-based techniques have been developed and tested for gearbox fault diagnosis. In general, AE-based techniques require much higher sampling rates than vibration analysis-based techniques for gearbox fault diagnosis. Therefore, it is questionable whether an AE-based technique would give a better or at least the same performance as the vibratio...
متن کاملAcoustic Emission Signal Feature Extraction in Rotor Crack Fault Diagnosis
On the rotor comprehensive fault simulation testbed, characteristics of acoustic emission signal of different crack rotors in various depth and conditions are analyzed by the acoustic emission extraction experiment. The noiseeliminating method of the acoustic emission signal was researched by the wavelet packet technique, the characteristics of acoustic emission signal of the rotor crack was al...
متن کاملDiagnostic Classifier Ensembles: Enforcing Diversity for Reliability in the Combination
The construction of reliable machinery fault diagnostic systems is investigated in this thesis. The idea of using unitary sensorial information to develop automated fault classifiers is studied. The domain of fault diagnosis is used to investigate the concept of enforcing methodological diversity in the solutions with a view to obtaining robust and reliable systems by combining the decisions of...
متن کاملAn LPV Approach to Sensor Fault Diagnosis of Robotic Arm
One of the major challenges in robotic arms is to diagnosis sensor fault. To address this challenge, this paper presents an LPV approach. Initially, the dynamics of a two-link manipulator is modelled with a polytopic linear parameter varying structure and then by using a descriptor system approach and a robust design of a suitable unknown input observer by means of pole placement method along w...
متن کاملCylinder Pressures and Vibration in Internal Combustion Engine Condition Monitoring
Abstract: We focus on the detection of incipient faults in an internal combustion engine using a minimum number of sensory information. Inducing several faults in a 4 stroke diesel engine, cylinder pressure (P) and vibration (V) data are acquired. Two sets of artificial neural nets (ANN) are trained separately, using features from the pressure and vibration data. Both sets of nets show very goo...
متن کامل