For the last four decades, Tedric Harris' "Rolling Bearing Analysis" has been the 'bible' for engineers involved in rolling bearing technology. Why do so many students and practicing engineers rely on this book? The answer is simple: because of its complete coverage from low- to high-speed applications and full derivations of the underlying mathematics from a leader in the field. The fifth edition of this classic reference is divided conveniently into two volumes, each focused on a specialized area of bearing technology. This option allows you to select the coverage that is best suited to your needs.The first of two books, "Essential Concepts of Bearing Technology" builds a basic understanding of the fundamentals underlying the use, design, and performance of rolling bearings. It serves as a stand-alone introduction cutting across the array of disciplines necessary to evaluate and comprehend the performance and behavior of most types of rolling bearings. The authors derive the mathematics and theories underlying catalog values given by manufacturers and lead you from the various types of bearings through bearing geometry, applied loading, internal load distribution, deformation, functional performance, and structural materials. "Essential Concepts of Bearing Technology" is an ideal introduction for students and a practical guide for professionals who need more than empirical data to evaluate and compare the performance of various types of bearings from different manufacturers in common applications.
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通过积累经验数据得来的参量虽然简单可行，却非长久之计，一旦设计款式和类型与实测样本不同，经验数据就会丧失可靠性。反之如果回归理论模型，那么与经验数据又未必完全吻合。这个时候唯有追本溯源完善理论模型，使其与大多数不同状态下的实测数据相吻合才是正途。
评分通过积累经验数据得来的参量虽然简单可行，却非长久之计，一旦设计款式和类型与实测样本不同，经验数据就会丧失可靠性。反之如果回归理论模型，那么与经验数据又未必完全吻合。这个时候唯有追本溯源完善理论模型，使其与大多数不同状态下的实测数据相吻合才是正途。
评分通过积累经验数据得来的参量虽然简单可行，却非长久之计，一旦设计款式和类型与实测样本不同，经验数据就会丧失可靠性。反之如果回归理论模型，那么与经验数据又未必完全吻合。这个时候唯有追本溯源完善理论模型，使其与大多数不同状态下的实测数据相吻合才是正途。
评分通过积累经验数据得来的参量虽然简单可行，却非长久之计，一旦设计款式和类型与实测样本不同，经验数据就会丧失可靠性。反之如果回归理论模型，那么与经验数据又未必完全吻合。这个时候唯有追本溯源完善理论模型，使其与大多数不同状态下的实测数据相吻合才是正途。
评分通过积累经验数据得来的参量虽然简单可行，却非长久之计，一旦设计款式和类型与实测样本不同，经验数据就会丧失可靠性。反之如果回归理论模型，那么与经验数据又未必完全吻合。这个时候唯有追本溯源完善理论模型，使其与大多数不同状态下的实测数据相吻合才是正途。
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