Classification of wear level of mining tools with the use of fuzzy neural network

Gajewski, Jakub; Jedliński, Łukasz; Jonak, Józef

doi:10.1016/j.tust.2012.12.002

Cited by 38 publications

(15 citation statements)

References 19 publications

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“…Knives were tested, whose the body was protected against abrasive wear with wear-resistant coatings, pad welding or cemented carbide rings (Krauze et al, 2017, Chang andChulho, 2017). Studies was carried out to learn about the mechanism of abrasive wear of knives , wear prediction (Gajewski et al, 2013) or the possibility of supporting the mining process (Kotwica, 2011). Tests were carried out for the cemented carbide material (Nahak et al, 2015) as well as the entire pick , Songyong et al, 2017 and picks forming the cutting tool (Krauze et al, 2015, Krauze andKotwica, 2007).…”

Section: Conical Picksmentioning

confidence: 99%

Results of a Study on the Quality of Conical Picks for Public Procurement Purposes

Bołoz

2018

New Trends in Production Engineering

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The article presents the results of a study on the quality of conical picks for the purposes of tender procedures in accordance with the public procurement law in Poland. The pick studies presented here are one of the few that in practice allow the selection of an offer based on objectively determined numerical indicators defining the quality of the product and not only on the basis of price. Thanks to this, the contracting party can decide the relevance of price and quality in their evaluation of a pick. The geometrical and material parameters required in a tender, if not met, are the basis for rejecting a given offer of picks. The numerical parameter influencing the final evaluation of the offer is the picks’ rate of wear. Conical picks are tools for mining minerals, rocks, asphalt or concrete. They are used in many industries, especially in mining, construction and road engineering. In difficult working conditions, the durability of knives is limited to as little as several hours. Several dozen picks work on a cutting unit at the same time, and taking into account the price of a knife which oscillates around several dozen euros, significant operating costs are incurred. Therefore, the selection of tools with an optimum price-quality ratio is crucial. The article presents the results of studies on geometric parameters, material parameters and the rate of wear of 48 sets of picks conducted for a tender consisting of 14 tasks. The tender was conducted for 6 underground mines of a coal company. Five producers submitted their offers for selected tasks in the tender.

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Section: Conical Picksmentioning

confidence: 99%

Results of a Study on the Quality of Conical Picks for Public Procurement Purposes

Bołoz

2018

New Trends in Production Engineering

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“…Some research was done on picks in which the body was protected against abrasive wear by means of abrasion resistant coatings, hardfacing or sintered carbide rings (Chang andChulho, 2017, Krauze et al, 2016). Studies were carried out to get to know the mechanism of pick abrasion wear (Dewangan and Chattopadhyaya, 2015), wear prediction (Gajewski et al, 2013) or the possibility to support the mining process (Kotwica, 2011) or granulation (Sidor and Feliks, 2015). Sintered carbide (Nahak et al, 2015) and steel Sitko, 2014, 2016) as well as a complete pick (Songyong et al, 2017) or picks in the cutting head (Krauze et al, 2015, Krauze andKotwica, 2007) were subjected to tests.…”

Section: Introductionmentioning

confidence: 99%

Directions for increasing conical picks’ durability

Bołoz

2019

New Trends in Production Engineering

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Conical picks are cutting tools used in many branches, in particular in the mining, road construction and building branch. Contact with the excavated face causes their constant wear, which is an unfavorable but unavoidable process. Milling heads of working machines are equipped with several dozen conical picks, and mining in abrasive or hardly accessible rocks can reduce their life to a few hours. It is in the interest of both users and producers to increase their durability, as tools replacement, apart from purchase and logistic costs, results in machine downtimes. In the article various solutions of conical picks, their construction, dimensions and materials used have been discussed. Technical procedures applied to increase the durability of conical picks and their regeneration as well as methods of extending the life of picks working in difficult conditions have been presented. Two author’s methods of extending the life of picks working in difficult conditions, covered by a patent application, have also been presented. The first solution involves ensuring an uninterrupted rotational movement of the pick in the holder. Patent claims include an innovative method of equipping the additional sleeve integrated with the holder with a rotational bearing, which enables a continuous rotation of the pick. The tool equipped with a bearing generates much lower movement resistance than the standard mounting. The holder is designed to mount classic commercial picks. What is important, the pick replacement does not require interfering with the bearing assembly. The second solution concerns the manner of protecting the working part of the pick by means of a special element made of an abrasion resisting material. This element is the pick tip, the geometry of which varies from the commonly applied posts made of sintered carbide. In this solution, the tip has a shape corresponding to the form of conical pick’s wear, which causes that its steel body does not wear. Moreover, there is a possibility of applying a mobile, rotational mounting of the tip to the body.

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“…State-Of-Health evaluations and assessments of the actual wear state are important advanced features of modern condition monitoring systems [1][2][3][4][5][6][7][8][9]. Evaluations of the hazard rate/probability of failure (load-dependent) and the actual remaining lifetime are goals in the development of advanced methods and implementations [6,10].…”

Section: Introductionmentioning

confidence: 99%

“…Gearbox condition monitoring using wavelet filtering based on vibration signals was described in [3]. In [4], wavelet filtering was used to extract features for classifying the wear level of mining tools based on the mining power. Statistical features are used for feature extraction, e.g., root mean square, skewness, kurtosis, and standard deviation.…”

Section: Introductionmentioning

confidence: 99%

“…In [7], classification methods (decision-making) such as neural networks (see also [3]), fuzzy-based methods, and hierarchical algorithms were described. Fuzzy-based methods often combine fuzzy logic with other common methods, such as fuzzy neural networks (used in [4]) or fuzzy c-means (used in [2]). The c-means algorithm is a clustering technique.…”

Section: Introductionmentioning

confidence: 99%

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New Approaches for Supervision of Systems with Sliding Wear: Fundamental Problems and Experimental Results Using Different Approaches

Söffker

Rothe

2017

Applied Sciences

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Reliability and availability of technically complex and safety-critical systems are of increasing importance. Besides the degree of wear, the quality of mechanical systems is significant for the system reliability. The focus of this contribution is the development and application of readily applicable and easily interpretable algorithms for industrial data obtained from technical systems during operation. The methods are within the focus of the production-oriented automation programs (Industrial Internet, Automation 4.0, China 2025). In this contribution as example a hydraulically driven machine in which parts slide over each other is chosen as sliding wear example. Monitoring is applied to distinguish normal and abnormal operation as well as to define end of useful lifetime. In this contribution four different methods will be introduced and experimentally compared without the availability of objective information about the wear state. The approaches differ with respect to the used measurements and data preparation. As measurements Acoustic Emission and the hydraulic pressure of the driving machine are used. For processing the accumulation of damage related values, a machine learning algorithm, and a sensitivity matrix are used. For comparison the experimental validation is based on identical data sets. Different operational states of the system denoted as actual system state are defined and classified. The comparison shows that the four introduced methods provide similar classification results although the underlying measurements are based on different physical principles. The newly introduced approaches allow online evaluation of the actual system state and can serve within improved maintenance strategies.

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Classification of wear level of mining tools with the use of fuzzy neural network

Cited by 38 publications

References 19 publications

Results of a Study on the Quality of Conical Picks for Public Procurement Purposes

Results of a Study on the Quality of Conical Picks for Public Procurement Purposes

Directions for increasing conical picks’ durability

New Approaches for Supervision of Systems with Sliding Wear: Fundamental Problems and Experimental Results Using Different Approaches

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