An Assessment of the Quality-Achieving Reliability of Mechanical Products Based on Information-Poor Theory

Abstract

Reliable evaluation of a product's quality assurance capability is difficult to quantify due to the intricacies of the quality assurance process and the uncertain relationships between the product quality and its influence factors. To address this problem, with the aid of information-poor theory, a new concept, quality-achieving reliability, is proposed, and a corresponding evaluation model is structured to calculate the probability of achieving product quality as a function of the influence factors. Using the decomposition and composition method, quality classifications of the product evaluation indicator and its influence factors are produced to extract the cumulative distribution of the product quality and its elements. Using the grey relational grade method, a weight analysis of the impacts of the influence factors on the product quality is performed to obtain the status composite values of the influence factors. Under the condition of poor information and relying on the status composite values based on the cumulative distribution, a quality-achieving reliability function is established to reflect the quality assurance capability and quality control level of the product and its elements. An experimental investigation of the vibration acceleration of tapered roller bearings demonstrates the application of the proposed model.

Quality-Achieving Reliability Assessment of Rolling Bearing Based on Bootstrap Maximum Entropy Method and Similarity Method

“…According to factor space theory, it is usually difficult to forecast the status of a complex factor. 13 The most effective approach is to decompose the complex factor into a series of simple facilitating factors and then to use these simple factors to determine the status of the complex factor. 30 Therefore, it is feasible to decompose the quality-achieving reliability of rolling bearing into a series of simple factors whose statuses are easily examined.…”

“…The quality-achieving reliability refers to the probability at which the quality control level can be expected to reach a certain grade under the given conditions, which addresses the quality-achieving capability and probability from the perspective of weighted influence factors. 13 The key step in evaluating the quality-achieving reliability is to analyze the quality-influencing factors of the bearing caused by the manufacturing process, and then determine the weight of different influencing factors. Bearing quality-influencing factors evaluation comes with two challenges.…”

Dynamic prediction of the performance reliability of high-speed railway bearings

“…However, due to the complex and changeable service environment of high-speed railway bearings, vibration signals based on time variances have obvious nonlinear, diverse, and chaotic characteristics, with an unknown overall probability distribution, and no prior information on the trend or non-stationary degradation of the vibration performance [6,7]. Therefore, using traditional reliability theory, which relies on the known probability distribution and trend information, to analyse the problem would be comparatively difficult.…”