Intelligent Bearing Fault Diagnosis Method Combining Mixed Input and Hybrid CNN-MLP model

Rolling bearings are one of the most widely used bearings in industrial machines. Deterioration in the condition of rolling bearings can result in the total failure of rotating machinery. AI-based methods are widely applied in the diagnosis of rolling bearings. Hybrid NN-based methods have been shown to achieve the best diagnosis results. Typically, raw data is generated from accelerometers mounted on the machine housing. However, the diagnostic utility of each signal is highly dependent on the location of the corresponding accelerometer. This paper proposes a novel hybrid CNN-MLP model-based diagnostic method which combines mixed input to perform rolling bearing diagnostics. The method successfully detects and localizes bearing defects using acceleration data from a shaft-mounted wireless acceleration sensor. The experimental results show that the hybrid model is superior to the CNN and MLP models operating separately, and can deliver a high detection accuracy of 99,6% for the bearing faults compared to 98% for CNN and 81% for MLP models

Measurement validation for ICPS: Matrix pencil method for coriolis metering with liquid/gas flow

A key requirement for Industrial Cyber-Physical System (ICPS) instrumentation is measurement validation i.e. assessing measurement quality, including detecting and correcting for fault conditions. Coriolis Mass flow meters are used widely throughout industry, but commonly only for singlephase fluids, i.e. either liquids or gases, since accuracy is degraded by gas/liquid flows. The provision of robust measurement in non-ideal conditions is an increasingly important requirement. Here we propose that a modified Matrix Pencil Method is able to track the modes of flowtube vibration excited by gas/liquid flow, and show the results of applying the technique to numerically simulated data

Prism signal processing for sensor condition monitoring

This paper introduces a new technique, Prism signal processing, which may be used for the tracking of one or more noisy sinusoids in a signal. A simulation study is presented demonstrating the potential of Prism signal processing as an alternative to Prony’s method for analyzing exponentially decaying sinusoids. One application is to sensor condition monitoring of an industrial pressure sensor, using ultrasonic excitation to evaluate the sensor’s structural integrity. Initial experimental results suggest the Prism technique can reveal details in the resulting frequency/amplitude time series of each component, which is not available through Prony’s method

Measurement validation for ICPS: Matrix pencil method for coriolis metering with liquid/gas flow

A key requirement for Industrial Cyber-Physical System (ICPS) instrumentation is measurement validation i.e. assessing measurement quality, including detecting and correcting for fault conditions. Coriolis Mass flow meters are used widely throughout industry, but commonly only for singlephase fluids, i.e. either liquids or gases, since accuracy is degraded by gas/liquid flows. The provision of robust measurement in non-ideal conditions is an increasingly important requirement. Here we propose that a modified Matrix Pencil Method is able to track the modes of flowtube vibration excited by gas/liquid flow, and show the results of applying the technique to numerically simulated data

Matrix pencil method for coriolis metering with liquid/gas flow II: experimental results

Our companion conference paper describes the requirement for flexible, self-validating instrumentation to support the goals of Industrial Cyber-Physical Systems. For highvalue instruments such as Coriolis Mass Flow (CMF) meters, this entails more sophisticated signal processing techniques to provide additional sources of diagnostic and measurement data, particularly in dealing with common, but difficult real-world conditions such as two-phase (gas/liquid) flow. A novel Matrix Pencil Method (MPM) was described, adapted to monitor two modes of vibration for the CMF flowtube, and its performance evaluated in simulation. In this paper, we present results from applying the MPM technique to experimental dat

Matrix pencil method for coriolis metering with liquid/gas flow II: experimental results

Our companion conference paper describes the requirement for flexible, self-validating instrumentation to support the goals of Industrial Cyber-Physical Systems. For highvalue instruments such as Coriolis Mass Flow (CMF) meters, this entails more sophisticated signal processing techniques to provide additional sources of diagnostic and measurement data, particularly in dealing with common, but difficult real-world conditions such as two-phase (gas/liquid) flow. A novel Matrix Pencil Method (MPM) was described, adapted to monitor two modes of vibration for the CMF flowtube, and its performance evaluated in simulation. In this paper, we present results from applying the MPM technique to experimental dat