![]() ![]() The results show that the signals of NC table are not simple signal nor white noise, the entropy values in direction of driving axe are lower, the entropy values increase along with the increment of driving speed and the entropy values at the abnormal working conditions such as resonance or creeping etc decrease obviously. Given a discrete random variable, which takes values in the alphabet and is distributed according to : where denotes the sum over the variables possible values. The singular entropy values can be used to study the indetermination of signals. The entropy decrease for highly polar water from gas > liquid is particularly marked because even in the liquid there are clumps of molecules held together by. In information theory, the entropy of a random variable is the average level of 'information', 'surprise', or 'uncertainty' inherent to the variables possible outcomes. When we flip a coin, then there can be two outcomes. We can understand the term entropy with any simple example: flipping a coin. It determines how a decision tree chooses to split data. The results show that the signals in direction of driving axes are the simplest and the signals in perpendicular direction are the most complex. Entropy is the measurement of disorder or impurities in the information processed in machine learning. Entropy is a scientific concept, as well as a measurable physical property, that is most commonly associated with a state of disorder, randomness, or uncertainty. The steep degrees of singular spectrums can be used to discriminate complex degrees of signals. Although all forms of energy can be used to do work, it is not possible to use the entire available energy for work. The more disordered a system and higher the entropy, the less of a system's energy is available to do work. Ideal gas properties of air are provided in Table E-1. Entropy also describes how much energy is not available to do work. ![]() If only x is supplied it will be interpreted as contingency table. Entropy is a measure of the disorder of a system. The signal characteristics and their regulations of NC table are revealed via the characteristic quantities such as singular spectrum, singular entropy etc. a vector or a matrix of numerical or categorical type. This paper collects vibration acceleration signals from NC table, analyzes the signals with SVD (singular value decomposition) method, acquires the singular spectrum and calculates the singular entropy of the signals. The dynamic characteristics caused by backlash, friction and elastic deformation among each component are so complex that they have become the bottleneck of enhancing the positioning accuracy, tracking accuracy and dynamic behavior of NC table. NC (numerical control) table is a complex dynamic system. ![]()
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