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• 12223 Answers SOURCE: follow this steps and fix it. God bless you Detach the ends of the pedals from the crank axles. Spread a layer of machine grease over the crank axles, then reattach the ends of the pedals. 2 Remove the bolts connecting the pedals to the swing arms. Detach the pedals from the arms, then spread a layer of machine grease over the axles on the swing arms. On some models, the bolts may also serve as the axles. Reattach the pedals to the arms.

3 Remove the bolts connecting the swing arms to the elliptical's upright. Detach the swing arms from the upright, then spread a layer of machine grease over the axles on the upright. Reattach the arms to the upright.

Free bar software. Link Arms 1 Unplug the power cord. Identify the pivot points where the lower handlebars and the footpad link arms connect at each side of the machine. Use a screwdriver to remove the inside and outside elbow covers at each connection. This will expose the pivots.

2 Put a box wrench on the lock nut at the inside of one pivot and loosen the bolt with an Allen wrench. Remove the bolt and check the assembly for nylon spacers or a bearing. If no spacer is found, proceed to the next step. Replace the nylon spacers, reassemble the connection and reattach the elbow covers. Repeat this at the opposite side of the machine. 3 Have an assistant hold a deep socket against the inside face of the pivot hub. Make sure the socket is large enough to allow the bearing to pop out.

Insert the point of a flat screwdriver into the outside of the hub until it contacts the bearing. Tap the handle of the screwdriver with a hammer to remove the bearing. Repeat this to remove the bearing on the opposite side. 4 Hold each bearing next to one ear and turn the inner race with your finger. If you hear grinding noises or the bearing is rough, it must be replaced. Lubricate the bearing with lithium grease and a grease gun.

Replace the bearing into the hub. Reattach the lower handlebars and footpad link arms and put the elbow covers on. Pedal Arms 1 Use a flat screwdriver to unseat the tabs that hold the front top cover in place. This will expose the flywheel and pedal arm connection points. Rotate the flywheel by hand and determine whether lubrication will accomplish the repairs. If the bearings are exposed, use a grease gun with an extension nozzle and lubricate both bearings with lithium grease. If the bearings are damaged or sealed, proceed to the next step.

2 Remove the front and side covers on the main frame. Hold the flywheel with one hand and use a box wrench to loosen the bolts that secure the pedal arms at each side of the flywheel. Pull the arms away from the flywheel and remove the bearings from each side. 3 Test the bearings as before. Lubricate exposed bearings with lithium grease and reinstall them.

Sealed bearings must be replaced. Reattach the pedal arms to the flywheel. Replace the main frame covers and front top cover to complete the repairs.

Posted on Oct 16, 2012.

Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative dependent variables. Its goal is to extract the important information from the table, to represent it as a set of new orthogonal variables called principal components, and to display the pattern of similarity of the observations and of the variables as points in maps. The quality of the PCA model can be evaluated using cross‐validation techniques such as the bootstrap and the jackknife.

PCA can be generalized as correspondence analysis (CA) in order to handle qualitative variables and as multiple factor analysis (MFA) in order to handle heterogeneous sets of variables. Mathematically, PCA depends upon the eigen‐decomposition of positive semi‐definite matrices and upon the singular value decomposition (SVD) of rectangular matrices. Copyright © 2010 John Wiley & Sons, Inc. This article is categorized under: • Statistical and Graphical Methods of Data Analysis > Multivariate Analysis • Statistical and Graphical Methods of Data Analysis > Dimension Reduction.