Fault Diagnosis in Household Appliances: A Design Perspective

Today’s industrialized societies face the challenge of integrating economic activity with sustainable consumption. Prosperity has come hand in hand with environmental damage. Product lifetimes are decreasing and there is a rising demand for high-tech products for which no effective recycling is in place. Hence, the value from products is lost to...

Data-Driven Fault Diagnosis of Lithium-Ion Battery Overdischarge in Electric Vehicles

The overdischarge can significantly degrade a lithium-ion (Li-ion) battery's lifetime. Therefore, it is important to detect the overdischarge and prevent severe damage of the Li-ion battery. Depending on the battery technology, there is a minimum voltage (cutoff voltage) that the battery is allowed to be discharged in common practice. Once the...

An online data driven fault diagnosis and thermal runaway early warning for electric vehicle batteries

Battery fault diagnosis is crucial for stable, reliable, and safe operation of electric vehicles, especially the thermal runaway early warning. Developing methods for early failure detection and reducing safety risks from failing high energy lithium-ion batteries has become a major challenge for industry. In this article, a real-time early...

Research on Bearing Fault Diagnosis Method Based on Filter Features of MOMLMEDA and LSTM

As the supporting unit of rotating machinery, bearing can ensure efficient operation of the equipment. Therefore, it is very important to monitor the status of bearings accurately. A bearing fault diagnosis mothed based on Multipoint Optimal Minimum Local Mean Entropy Deconvolution Adjusted (MOMLMEDA) and Long Short-Term Memory (LSTM) is...

An effective approach for rotor electrical asymmetry detection in wind turbine DFIGs

Determining the magnitude of particular fault signature components (FSCs) generated by wind turbine (WT) faults from current signals has been used as an effective way to detect early abnormalities. However, the WT current signals are time varying due to the constantly varying generator speed. The WT frequently operates with the generator close...

Research of planetary gear fault diagnosis based on permutation entropy of CEEMDAN and ANFIS

For planetary gear has the characteristics of small volume, light weight and large transmission ratio, it is widely used in high speed and high power mechanical system. Poor working conditions result in frequent failures of planetary gear. A method is proposed for diagnosing faults in planetary gear based on permutation entropy of Complete...

Automatic Detection and Diagnosis of faults in Sensors used in EMS

A much occurring problem in the Energy Management Systems of existing buildings and HVAC services is that the measurements are unreliable. In this article a methodology is described which can be used to determine the presence of errors in energy monitoring, caused by faulty measurements. These errors can be detected and subsequently diagnosed....

Program spectra analysis in embedded software: A case study

Because of constraints imposed by the market, embedded software in consumer electronics is almost inevitably shipped with faults and the goal is just to reduce the inherent unreliability to an acceptable level before a product has to be released. Automatic fault diagnosis is a valuable tool to capture software faults without extra effort spent...

Condition monitoring for marine refrigeration plants based on process models

Over the last decades the reliability, availability and safety of ships has become increasingly important. The cost and safety risks of ships have increased with the size, and the complexity has led to extensive automation. Many parameters, variables and alarms are available simultaneously for evaluation, but the small crew has many tasks they...

Knowledge-based quality diagnosis