In many industries, statistical process monitoring techniques play a key role in improving
processes through variation reduction and defect prevention. Modern large-scale industrial …

Control in HVAC (heating, ventilation and air-conditioning) systems of buildings is not trivial,
and its design is considered challenging due to the complexity in the analysis of the …

The efficiency of material handling system requires an automation on the different levels of
control and supervision to keep availability of the material handling devices for fast, safety …

The customers need no longer just a physical product, but rather the required function
provided by the offering of product and service, namely product service system (PSS) …

Abstract Cyber–Physical Production Systems (CPPSs) are hybrid systems composed of a
discrete and continuous part. However, most of the applied machine learning algorithms …

In this paper a novel approach to design robust fault diagnosis systems in mechanical
systems using historical data and computational intelligence techniques is presented. First …

This work proposes a new criterion to validate and improve the classification efficiency of the
Learning Algorithm Multivariable and Data Analysis (LAMDA) fuzzy algorithm, which is an …

The development of systems capable of diagnosing new and multiple faults in industrial
systems is an active research topic. In this paper a model-based diagnostic system capable …

The learning algorithm for multivariable data analysis (LAMDA) is a learning method to
group or classify quantitative and qualitative historical data. LAMDA can be applied for self …

This paper proposes a new approach to improve the performance of Learning Algorithm for
Multivariable Data Analysis (LAMDA). This algorithm can be used for supervised and …